WO2017049624A1 - 血压测量方法、血压测量装置以及终端 - Google Patents

血压测量方法、血压测量装置以及终端 Download PDF

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Publication number
WO2017049624A1
WO2017049624A1 PCT/CN2015/090808 CN2015090808W WO2017049624A1 WO 2017049624 A1 WO2017049624 A1 WO 2017049624A1 CN 2015090808 W CN2015090808 W CN 2015090808W WO 2017049624 A1 WO2017049624 A1 WO 2017049624A1
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Prior art keywords
blood pressure
measured target
state
pressure calculation
measured
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PCT/CN2015/090808
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English (en)
French (fr)
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陈文娟
朱萸
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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Priority to PCT/CN2015/090808 priority Critical patent/WO2017049624A1/zh
Priority to EP15904500.4A priority patent/EP3342335B1/en
Priority to CN201580029168.8A priority patent/CN108024740B/zh
Priority to US15/762,640 priority patent/US11564640B2/en
Publication of WO2017049624A1 publication Critical patent/WO2017049624A1/zh
Anticipated expiration legal-status Critical
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7278—Artificial waveform generation or derivation, e.g. synthesizing signals from measured signals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1116—Determining posture transitions
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1118—Determining activity level
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/321—Accessories or supplementary instruments therefor, e.g. cord hangers
    • A61B5/322—Physical templates or devices for measuring ECG waveforms, e.g. electrocardiograph rulers or calipers
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/33—Heart-related electrical modalities, e.g. electrocardiography [ECG] specially adapted for cooperation with other devices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02—Operational features
    • A61B2560/0223—Operational features of calibration, e.g. protocols for calibrating sensors
    • A61B2560/0228—Operational features of calibration, e.g. protocols for calibrating sensors using calibration standards
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/024—Measuring pulse rate or heart rate
    • A61B5/0255—Recording instruments specially adapted therefor

Definitions

  • the present invention relates to the field of measurement, and in particular, to a blood pressure measuring method, a blood pressure measuring device, and a terminal.
  • Blood pressure detecting devices also called sphygmomanometers
  • Cuff sphygmomanometers are highly accurate, but they are bulky, difficult to carry, and cumbersome to operate. Therefore, cuffless sphygmomanometers are the main development direction of blood pressure testing devices in recent years.
  • the cuffless sphygmomanometer determines blood pressure based on the relationship between blood pressure and pulse wave. Specifically, there is a positive correlation between the speed of pulse wave transmission along the artery and arterial blood pressure. When the blood pressure rises, the blood vessel expands and the pulse wave The transmission speed is increased; conversely, when the blood pressure is lowered, the transmission speed of the pulse wave is slowed down. In addition, the transmission speed of the pulse wave is also related to the physiological parameters such as the age of the subject, the elasticity of the artery wall, and the blood density, and the physiological parameters of the subject vary from person to person. Therefore, it is necessary to obtain blood pressure by using the transmission speed of the pulse wave. Calibrate for each subject.
  • the calibration method of the cuffless sphygmomanometer is divided into manual calibration and automatic calibration.
  • the manual calibration is to calibrate the measurement results of the cuffless sphygmomanometer by using the measurement results of the cuff sphygmomanometer.
  • the method of manually calibrating the sphygmomanometer is cumbersome, and the accuracy of the cuffless sphygmomanometer is still not high due to the real-time changes in the physiological parameters of the subject.
  • Auto-calibration automatically corrects the original measurement based on the vascular resistance, vessel wall elasticity, and blood viscosity during the propagation of the pulse wave to obtain a more accurate blood pressure value.
  • the measured parts of the subject are different, and the blood pressure in different postures is different.
  • the artery of the right hand is from the first branch of the aortic arch
  • the artery of the left hand is from the third branch of the aortic arch
  • the blood pressure of the left and right arms of the average person There is a difference of 10-20mmHg.
  • the difference in blood pressure between left and right arms may be higher with cardiovascular function loss; the effect of posture on blood pressure comes from gravity, and the systolic blood pressure rises when lying down. The systolic blood pressure is reduced; while the diastolic blood pressure is reversed, the diastolic pressure is higher than the prone position when standing.
  • the calibration method of the existing cuffless sphygmomanometer does not take into account the difference in the above-mentioned measured parts and the influence of the posture of the subject on blood pressure measurement values, so the accuracy is still not high.
  • an object of embodiments of the present invention is to provide a blood pressure measuring method, a blood pressure measuring device, and a terminal, which can solve the problem that the result of the cuffless blood pressure detecting in the prior art is not high.
  • a blood pressure measuring method comprising:
  • the terminal acquires first biometric information of the measured target, where the first biometric information includes a pulse wave signal and/or an electrocardiographic signal of the measured target;
  • the terminal And acquiring, by the terminal, a first state of the measured target according to the first biometric information, where the first state includes an activity state of the measured target, a posture of the measured target, and a measurement of a pulse wave of the measured target At least one of the locations;
  • the terminal determines a blood pressure value of the measured target according to the blood pressure calculation strategy and the first biometric information.
  • the first biometric information of the measured object further includes:
  • An acceleration signal and/or an angular velocity signal of the measured object An acceleration signal and/or an angular velocity signal of the measured object.
  • the terminal determines, according to the first state, a blood pressure calculation strategy of the measured target, Specifically include:
  • the terminal is not calibrated in the first state, determining that the blood pressure calculation strategy of the measured target is an uncalibrated blood pressure calculation strategy.
  • the determining a blood pressure calculation strategy of the measured target is a calibrated blood pressure calculation strategy, specifically including :
  • the determining the calibrated blood pressure calculation model is specifically:
  • a first calibrated blood pressure calculation model is determined based on the first state.
  • the calibrated blood pressure calculation model is:
  • SBP is systolic blood pressure
  • DBP diastolic blood pressure
  • PTT pulse wave transmission time
  • A blood pressure calculation coefficient
  • SBP 0 , DBP 0 and PTT 0 are calibration parameters in the calibration blood pressure calculation model.
  • the method further comprises: calibrating the terminal;
  • the calibration of the terminal includes:
  • the terminal acquires a second state of the measured target according to the second biometric information, where the second state includes an activity state of the measured target, a posture of the measured target, and a measurement of a pulse wave of the measured target At least one of the locations;
  • the terminal acquires a standard blood pressure value of the measured target in the second state
  • the terminal determines, according to the standard blood pressure value and the second biometric information, a calibration parameter corresponding to the second state in the calibration blood pressure calculation model.
  • the determining a blood pressure calculation strategy of the measured target is an uncalibrated blood pressure calculation strategy, specifically including :
  • Determining an uncalibrated blood pressure calculation model and a physical parameter of the measured target the physical parameters of the measured target including at least one of age, gender, height, and weight.
  • the uncalibrated blood pressure calculation model is:
  • SBP is systolic blood pressure
  • DBP diastolic blood pressure
  • a 1 , A 2 , A 3 , A 4 , A 5 , A 6 , A 7 are the calculation coefficients of systolic blood pressure
  • B 1 , B 2 , B 3 , B 4 , B 5 , B 6 , B 7 are the diastolic pressure calculation coefficients
  • PTT is the pulse wave transmission time
  • Age is the age of the measured target
  • Hei is the height of the measured target
  • Wei is the weight of the measured target
  • Gen is the measured target.
  • Gender Z is the pulse wave characteristic parameter.
  • the active state of the measured target includes a motion state, or a stationary state, wherein an activity state of the measured target is determined according to an acceleration signal and/or an angular velocity signal of the measured target;
  • the measurement position of the pulse wave includes a left limb or a right limb, and the measured position of the pulse wave is determined according to a characteristic of a reference point of the electrocardiographic signal, or according to an acceleration of the measured target and/ Or determining the angular velocity, or determining according to the amplitude of the pulse wave signal of the measured target;
  • the posture of the measured target includes at least one of a sitting posture, a standing posture, a kneeling posture, and a lying posture, and the posture of the measured target object is based on an acceleration signal and/or an angular velocity signal of the measured target, and/or The characteristics of the pulse wave signal of the measured target are determined.
  • a blood pressure measuring device comprising:
  • a feature information acquiring unit configured to acquire first biometric information of the measured object, where the first biometric information includes a pulse wave signal and/or an electrocardiogram signal of the measured target;
  • a state acquiring unit configured to acquire, according to the first biometric information, a first state of the measured target, where the first state includes an active state of the measured target, a posture of the measured target, and a pulse of the measured target At least one of the measurement positions of the waves;
  • a blood pressure calculation strategy determining unit configured to determine a blood pressure calculation strategy of the measured target according to the first state
  • a blood pressure value determining unit configured to determine a blood pressure value of the measured target according to the blood pressure calculation strategy and the first biometric information.
  • the first biometric information of the measured object further includes:
  • An acceleration signal and/or an angular velocity signal of the measured object An acceleration signal and/or an angular velocity signal of the measured object.
  • the blood pressure calculation strategy determining unit is further configured to: if the first state is the blood pressure After the measuring device has been calibrated, determining that the blood pressure calculation strategy of the measured target is a calibrated blood pressure calculation strategy; or
  • the blood pressure calculation strategy determining unit is further configured to: if the blood pressure measurement device is not calibrated in the first state, determine that the blood pressure calculation strategy of the measured target is an uncalibrated blood pressure calculation strategy.
  • the blood pressure calculation strategy determining unit is further configured to determine the calibrated blood pressure calculation model and the calibrated blood pressure calculation model A calibration parameter corresponding to the first state.
  • the blood pressure calculation strategy determining unit is further configured to determine a first calibrated blood pressure calculation model according to the first state.
  • the calibrated blood pressure calculation model is:
  • SBP is systolic blood pressure
  • DBP diastolic blood pressure
  • PTT pulse wave transmission time
  • A blood pressure calculation coefficient
  • SBP 0 , DBP 0 and PTT 0 are calibration parameters in the calibration calculation model.
  • the blood pressure measuring device further includes a calibration unit, configured to Before the blood pressure measuring device acquires the first biometric information of the target to be measured, the blood pressure measuring device is calibrated;
  • the calibration unit is further configured to acquire second biometric information of the measured target, where the second biometric information includes a pulse wave signal and/or an electrocardiographic signal of the measured target;
  • the calibration unit is further configured to acquire, according to the second biometric information, a second state of the measured target, where the second state includes an active state of the measured target, a posture of the measured target, and a measured target At least one of the measurement positions of the pulse wave;
  • the calibration unit is further configured to acquire a standard blood pressure value of the measured target in the second state
  • the calibration unit is further configured to determine, according to the standard blood pressure value and the second biometric information, a calibration parameter corresponding to the second state in the calibration blood pressure calculation model.
  • the blood pressure calculation strategy determining unit is further configured to determine an uncalibrated blood pressure calculation model and a body parameter of the measured target
  • the physical parameter of the measured target includes at least one of age, sex, height, and weight.
  • the uncalibrated blood pressure calculation model is:
  • SBP is systolic blood pressure
  • DBP is diastolic blood pressure
  • a 1 , A 2 , A 3 , A 4 , A 5 , A 6 , A 7 are systolic blood pressure calculation coefficients
  • B 1 , B 2 , B 3 , B 4 , B 5 , B 6 , B 7 are the diastolic pressure calculation coefficients
  • PTT is the pulse wave transmission time
  • Age is the age of the measured target
  • Hei is the height of the measured target
  • Wei is the weight of the measured target
  • Gen is the measured target.
  • Gender Z is the pulse wave characteristic parameter.
  • the active state of the measured target includes a motion state, or a stationary state, wherein the activity state of the measured target is determined by the state acquiring unit according to an acceleration signal and/or an angular velocity signal of the measured target;
  • the measurement position of the pulse wave includes a left limb or a right limb, and the measurement position of the pulse wave is determined by the state acquisition unit according to a feature of a reference point of the electrocardiographic signal, or according to the Determining the acceleration and/or angular velocity of the target, or determining the amplitude of the pulse wave signal of the measured target;
  • the posture of the measured target includes at least one of a sitting posture, a standing posture, a kneeling posture, and a lying posture, and the posture of the measured target object is obtained by the state acquiring unit according to an acceleration signal and/or an angular velocity of the measured target object.
  • the signal, and/or the characteristics of the pulse wave signal of the measured object are determined.
  • a terminal in a third aspect, includes a processor, a storage device, and a communication interface;
  • the storage device is configured to store computer executable program code
  • the processor, the storage device, and the communication interface communicate with each other through a bus;
  • the processor performs the following operations by reading program codes and data stored in the storage device:
  • first biometric information of the measured target where the first biometric information includes a pulse wave signal and/or an electrocardiographic signal of the measured target;
  • the first biometric information of the measured object further includes:
  • An acceleration signal and/or an angular velocity signal of the measured object An acceleration signal and/or an angular velocity signal of the measured object.
  • the processor is further configured to: if the terminal is calibrated in the first state, Determining a blood pressure calculation strategy of the measured target as a calibrated blood pressure calculation strategy; or
  • the processor is further configured to determine that the blood pressure calculation strategy of the measured target is an uncalibrated blood pressure calculation strategy if the terminal is not calibrated in the first state.
  • the processor is further configured to determine a calibration blood pressure calculation model and the calibration blood pressure calculation model The calibration parameter corresponding to the first state.
  • the processor is further configured to determine a first calibrated blood pressure calculation model according to the first state.
  • the calibrated blood pressure calculation model is:
  • SBP is systolic blood pressure
  • DBP diastolic blood pressure
  • PTT pulse wave transmission time
  • A blood pressure calculation coefficient
  • SBP 0 , DBP 0 and PTT 0 are calibration parameters in the calibration blood pressure calculation model.
  • the processor is further configured to obtain the sphygmomanometer Determining the terminal before the first biometric information of the target to be tested;
  • the processor calibrates the terminal, specifically for:
  • the second biometric information including a pulse of the measured target Wave signal and/or ECG signal;
  • the processor is further configured to determine an uncalibrated blood pressure calculation model and a physical parameter of the measured target,
  • the body parameters of the target to be tested include at least one of age, sex, height, and weight.
  • the uncalibrated blood pressure calculation model is:
  • SBP is systolic blood pressure
  • DBP is diastolic blood pressure
  • a 1 , A 2 , A 3 , A 4 , A 5 , A 6 , A 7 are systolic blood pressure calculation coefficients
  • B 1 , B 2 , B 3 , B 4 , B 5 , B 6 , B 7 are the diastolic pressure calculation coefficients
  • PTT is the pulse wave transmission time
  • Age is the age of the measured target
  • Hei is the height of the measured target
  • Wei is the weight of the measured target
  • Gen is the measured target.
  • Gender Z is the pulse wave characteristic parameter.
  • the active state of the measured target includes a motion state, or a stationary state
  • the processor is further configured to determine an activity state of the measured target according to the acceleration signal and/or the angular velocity signal of the measured target;
  • the measurement position of the pulse wave includes a left limb or a right limb, and the processor is further configured to determine according to a characteristic of a reference point of the electrocardiographic signal, or according to an acceleration of the measured target and/ Or determining an angular velocity, or determining a measurement position of the pulse wave according to a magnitude of a pulse wave signal of the measured target;
  • the posture of the measured object includes at least one of a sitting posture, a standing posture, a kneeling posture, and a lying posture
  • the processor is further configured to use an acceleration signal and/or an angular velocity signal according to the measured target, and/or The characteristics of the pulse wave signal of the measured object are determined to determine the posture of the measured object.
  • Embodiments of the present invention provide a blood pressure measuring method, a blood pressure measuring device, and a terminal, in which the method
  • the sphygmomanometer acquires first biometric information of the measured target, the first biometric information of the measured target includes a pulse wave signal and/or an electrocardiographic signal of the measured target; the sphygmomanometer is according to the measured target Determining, by the first biometric information, a first state of the measured target, and determining a blood pressure calculation strategy of the measured target according to the first state of the measured target, according to the blood pressure calculation strategy and the measured target
  • the first biometric information determines a blood pressure value of the measured target.
  • the blood pressure measuring method, the blood pressure measuring device and the terminal of the embodiment of the present invention take into account the biological characteristics of the measured object and the influence of the state on the blood pressure when measuring the blood pressure, and select an appropriate blood pressure calculation strategy to determine the blood pressure value of the measured target, and improve The accuracy of blood pressure measurement is high.
  • FIG. 1 is a flow chart showing a blood pressure measuring method according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of signals collected by a three-axis gyroscope according to an embodiment of the present invention
  • FIG. 3 is a schematic diagram of an electrocardiogram signal according to an embodiment of the present invention.
  • FIG. 4 is a schematic diagram showing changes of a pulse wave according to an embodiment of the present invention.
  • Figure 5 is a flow chart showing a method of calibrating a sphygmomanometer according to an embodiment of the present invention
  • FIG. 6 is a flow chart showing a blood pressure measuring method according to an embodiment of the present invention.
  • FIG. 7 is a schematic structural view of a sphygmomanometer according to an embodiment of the present invention.
  • FIG. 8 is a schematic diagram of a terminal according to an embodiment of the present invention.
  • Embodiments of the present invention provide a blood pressure measuring method, a blood pressure measuring device, and a terminal, which can improve the accuracy of blood pressure detecting.
  • the blood pressure measuring method according to an embodiment of the present invention is performed by a terminal, and the terminal may be, for example, a wearable device having a blood pressure measuring function, such as a cuffless blood pressure meter.
  • the terminal in this embodiment will be exemplified by a sphygmomanometer as an enumeration description.
  • the method includes:
  • Step 101 The sphygmomanometer acquires first biometric information of the measured target.
  • the first biometric information of the measured target includes a pulse wave signal and/or an electrocardiographic signal of the measured target.
  • the first biometric information of the measured object further includes an acceleration signal and/or an angular velocity signal of the measured target.
  • the pulse wave signal may be collected by using a light sensor, a pressure sensor, an acoustic sensor, a photoelectric sensor, an acceleration sensor or a displacement sensor;
  • the ECG signal may be collected by using an ECG sensor;
  • the acceleration signal and/or the angular velocity signal may be Acquisition is performed using an acceleration sensor, a gyroscope, or a magnetometer. The specific collection method will not be described here.
  • the collected ECG signals and/or pulse wave signals may be filtered.
  • the filtering process is performed on the ECG signal and/or the pulse wave signal in order to filter out the interference.
  • the filtering method may be any one of the prior art, and is not described herein.
  • Step 102 The sphygmomanometer acquires the first state of the measured target according to the first biometric information of the measured target.
  • the first state of the measured target includes an active state of the measured target, and a posture of the measured target. And at least one of the measurement positions of the pulse waves of the target to be measured.
  • the active state of the measured target includes a motion state, or a stationary state, and the activity state of the measured target is determined according to an acceleration signal and/or an angular velocity signal of the measured target.
  • the posture of the measured target includes at least one of a sitting posture, a standing posture, a kneeling posture, and a lying posture, and the posture of the measured target is based on an acceleration signal and/or an angular velocity signal of the measured target, and/or a pulse wave. Signal characteristics are determined.
  • the measurement position of the pulse wave includes a left limb or a right limb, and the measurement position further includes an upper limb or a lower limb, or an outer side of the limb or an inner side of the limb.
  • the measurement position of the pulse wave is determined according to the characteristic of the reference point of the electrocardiographic signal, or the measurement position of the pulse wave is determined according to the acceleration or angular velocity of the measured target, or the measurement position of the pulse wave It is determined according to the amplitude of the pulse wave signal of the measured target.
  • the sphygmomanometer can be determined according to the amplitude of the pulse wave signal.
  • the position of the pulse wave is measured outside the limb or inside the limb. Since the radial artery is close to the inner side of the arm, the amplitude of the pulse wave signal inside the limb is greater than the pulse wave outside the limb. Amplitude.
  • the measurement position of the pulse wave can be detected by a three-axis gyroscope
  • FIG. 2 is a schematic diagram of a signal collected by the three-axis gyroscope according to the embodiment of the present invention. As shown in FIG. 2, the three-axis gyroscope can be used. The signal components of the X, Y, and Z axes can be used to determine the measurement position of the user's pulse wave.
  • the signal amplitude of the x-axis is larger than the signal amplitude of the y-axis and the z-axis; when the y-axis signal fluctuates, it is positive and negative; when the z-axis signal fluctuates, it is negative and positive.
  • the measurement position shown in the figure is the inner side of the left arm.
  • the signal amplitude of the x-axis is smaller than the signal amplitude of the y-axis and the z-axis; when the y-axis signal fluctuates, it is negative and then positive; when the z-axis signal fluctuates, it is positive and negative.
  • the measurement position shown in the figure is the outside of the left arm.
  • the signal amplitude of the x-axis has a significant fluctuation; when the y-axis signal fluctuates, it is negative and then positive; when the z-axis signal fluctuates, it is positive and negative.
  • the measurement position shown in the figure is the inner side of the right arm.
  • the signal amplitude of the x-axis is smaller than the signal amplitude of the y-axis and the z-axis; when the y-axis signal fluctuates, it is positive and negative; when the z-axis signal fluctuates, it is negative and positive.
  • the measurement position shown in the figure is outside the right arm.
  • the measurement position of the pulse can also be detected by a three-axis accelerometer. Similar to the three-axis gyroscope, the measurement position of the pulse wave of the user can be determined according to the signal components of the X, Y, and Z axes of the three-axis gyroscope. In practice, it can also be judged together with a three-axis accelerometer and a three-axis gyroscope, which can increase the recognition accuracy.
  • the measurement position of the pulse wave can also be judged by the characteristics of the reference point of the electrocardiographic signal.
  • the ECG signal is actually the potential difference at different positions on the body surface. For example, when the sphygmomanometer is worn on the left arm, the ECG signal is the right arm potential value minus the left arm potential value; when worn on the right arm, the left arm potential value is decreased. Go to the right arm potential value. Therefore, when blood When the pressure gauge is worn on different sides, the signal characteristics are significantly different.
  • FIG. 3 is a schematic diagram of an electrocardiographic signal according to an embodiment of the present invention.
  • the R wave vertices 301, 302, and 303 of the electrocardiographic signal are above the baseline. Only the vertices of the partial R wave and the R wave are exemplarily shown in Fig. 3(a).
  • the R-wave signal vertices 304, 305, and 306 of the ECG signal are below the baseline. Only the partial R waves and the vertices of the R waves are exemplarily shown in Fig. 3(b).
  • the sphygmomanometer when the sphygmomanometer is worn on the right arm, the left arm potential value is subtracted from the right arm potential value; when the sphygmomanometer is worn on the left arm, the ECG signal is the right arm potential value minus Left arm potential value.
  • the sphygmomanometer is defined by the factory preset.
  • the determination method of the above gyroscope and/or accelerometer may be used to perform the auxiliary determination.
  • the user needs to confirm the measurement position of the pulse wave and the wearing position of the sphygmomanometer. For example, when the user is in a sitting position, the arm is placed flat. At this time, the sphygmomanometer is worn on one arm. At this time, it is difficult to judge the worn arm by the accelerometer and/or the gyroscope, and the electrocardiographic signal may also be inconspicuous as described above.
  • the sphygmomanometer can be selected by the screen prompting options, such as left hand and right hand, for user selection, or by voice interaction for the user to confirm the current wearing position, wherein the left hand and the right hand respectively represent the left arm and the right hand. Arm.
  • the sphygmomanometer can also determine the pulse wave measurement position without using a sensor, and directly determine it by means of user selection.
  • Step 103 The sphygmomanometer determines a blood pressure calculation strategy of the measured target according to the first state of the measured target.
  • the blood pressure calculation strategy includes various types, for example, a strategy for calculating left-hand blood pressure or a strategy for calculating right-hand blood pressure, a strategy for calculating blood pressure in sitting posture or a strategy for calculating blood pressure during lying posture, a strategy for calculating blood pressure during exercise, or calculating a static state
  • the strategy of blood pressure for example, the strategy of calculating the blood pressure inside the left hand in a sitting position, and the strategy of calculating the blood pressure outside the right hand while running.
  • FIG. 4 is a schematic diagram showing changes of a pulse wave according to an embodiment of the present invention.
  • the pulse wave in the A region is relatively stable and has a high amplitude, and the measured user is in a sitting posture;
  • the amplitude of the pulse wave in the B region is The value changes from small to large, and the average amplitude is small, and the user under test is in a lying position during the time period.
  • embodiments of the present invention propose to determine a blood pressure calculation strategy based on a first state of the measured target.
  • determining a blood pressure calculation strategy specifically includes:
  • the blood pressure calculation model can be, for example:
  • SBP is systolic blood pressure
  • DBP is diastolic blood pressure
  • a 1 , A 2 , A 3 , A 4 , A 5 , A 6 , A 7 are systolic blood pressure calculation coefficients
  • B 1 , B 2 , B 3 , B 4 , B 5 , B 6 , B 7 are the diastolic pressure calculation coefficients
  • PTT is the pulse wave transmission time
  • Age is the age of the measured target
  • Hei is the height of the measured target
  • Wei is the weight of the measured target
  • Gen is the measured target.
  • Gender Z is the pulse wave characteristic parameter.
  • the pulse wave characteristic parameter Z may include at least one of a pulse wave second derivative zero point, a pulse wave area, a pulse wave rise time, a pulse wave fall time, and a pulse wave height.
  • one or more of the coefficients in the blood pressure calculation model may select different values depending on the first state, and the specific selection method may be determined by analyzing a large amount of experimental data.
  • the selection of coefficients A 1 -A 7 , B 1 -B 7 suitable for measuring different first states enables relatively accurate blood pressure measurements to be obtained.
  • the coefficients A 1 -A 7 and B 1 -B 7 for measuring the blood pressure in the lying position are selected; and if the first state is the right posture measurement in the sitting position, the corresponding one is selected. Coefficients A 1 -A 7 , B 1 -B 7 . Therefore, the calculation model can be adjusted by different coefficient selections of the model according to different first states.
  • a 1 , B 1 may be related to the measurement position of the pulse wave of the first target state, such as the left side posture or the right side posture, due to the blood pressure value of the left side posture body.
  • the slightly smaller A 1 , B 1 is selected, and when the first state is determined to be the right posture, then A 1 B 1 is slightly larger than A 1 and B 1 when the left posture is.
  • the other coefficients may be constants determined by experimental data analysis, or may be variables selected according to the measurement position of the pulse wave of the measured target; For example, A 7 and B 7 may be associated with the first state as a posture.
  • the blood pressure value in the lying position is greater than the blood pressure value in the sitting posture, when the first state is determined to be sitting, the A 7 and B 7 are slightly smaller.
  • a 7, B 7 determines that the first state is prone, then a 7, B 7 will be slightly larger than the sitting position, the same time, the other factor may be experimentally determined constant data analysis, according to the posture may be The selected variable.
  • the coefficients A 1 -A 7 and B 1 -B 7 are not specifically limited to which state, and may be determined according to experimental data analysis. As long as the different A 1 -A 7 , B 1 -B 7 coefficients are selected according to different states to determine the blood pressure value of the measured object, they are all within the protection scope of the embodiment of the present invention.
  • Step 104 The sphygmomanometer determines the blood pressure value of the measured target according to the blood pressure calculation strategy and the first biometric information of the measured target.
  • the sphygmomanometer selects the coefficients A1-A7, B1-B7 in the preset blood pressure calculation model according to the first biometric information of the measured object, thereby determining the blood pressure of the measured target through the blood pressure calculation model. value.
  • the coefficients A 1 -A 7 , B 1 -B 7 in the preset blood pressure calculation model are data obtained through a large number of experiments, and can be stored, for example, in the form of a correspondence table in the storage unit of the sphygmomanometer.
  • the sphygmomanometer according to the embodiment of the present invention is a cuffless sphygmomanometer.
  • the blood pressure measuring method according to the embodiment of the present invention acquires first characteristic information of the measured object by the sphygmomanometer in real time through the cuffless sphygmomanometer, and the measured target object
  • the first feature information includes first biometric information, and acquires a first state of the measured object according to the first biometric information of the measured target, and acquires a corresponding blood pressure calculation strategy according to the first state of the measured target;
  • the blood pressure calculation strategy and the first biometric information of the measured target acquire the blood pressure value of the measured target.
  • the blood pressure measuring method and the sphygmomanometer according to the embodiment of the present invention take into consideration the biological characteristics of the target to be measured and the state of measuring the blood pressure to determine the blood pressure calculation strategy, and the accuracy is high.
  • FIG. 5 is a flow chart showing a method of calibrating a sphygmomanometer in accordance with an embodiment of the present invention. As shown in Figure 5, the method of calibrating the sphygmomanometer includes:
  • Step 501 The sphygmomanometer acquires second biometric information of the measured target.
  • the second characteristic information of the target to be measured includes a pulse wave signal and/or an electrocardiographic signal of the target to be measured.
  • Step 502 The sphygmomanometer acquires the second state of the measured target according to the second biometric information of the measured target.
  • the second state of the measured target includes at least one of an active state of the measured target, a posture of the measured target, and a measured position of the pulse wave of the measured target.
  • Step 503 Acquire a standard blood pressure value corresponding to the measured target in the second state.
  • Step 504 Determine, according to the standard blood pressure value and the second biometric information, a calibration parameter corresponding to the second state in the calibration blood pressure calculation model.
  • the calibration sphygmomanometer can be performed when the sphygmomanometer is used for the first time, or when the unrecorded target is replaced. Once the sphygmomanometer is calibrated in a certain state of a measured target, the next time it is in the same state The sphygmomanometer automatically calls the stored data without calibrating again, simplifying the operation steps. At the same time, the sphygmomanometer is calibrated to the user under test in different states, which improves the accuracy of blood pressure measurement.
  • the calibrated blood pressure calculation model may be a model independent of the state of the measured target, or may be multiple models corresponding to different states, and the method for acquiring the calibrated blood pressure calculation model and the calibration parameters thereof is the same as steps 501-504. , will not repeat them here.
  • the sphygmomanometer can also directly measure the blood pressure of the target to be measured without performing calibration.
  • the sphygmomanometer determines a blood pressure calculation strategy of the measured target according to the first state of the measured target, which may specifically include:
  • the blood pressure calculation strategy of the measured target is an uncalibrated blood pressure calculation strategy.
  • the calibrated blood pressure calculation model may be one or more, wherein when the model in which the blood pressure calculation model is not related to the state of the measured target is calibrated, That is, when the blood pressure calculation model is only related to the sphygmomanometer itself, the blood pressure calculation strategy of the measured target is determined as the calibrated blood pressure calculation strategy, and specifically includes:
  • determining the blood pressure calculation strategy of the measured target is a calibrated blood pressure calculation strategy, specifically:
  • the calibrated blood pressure calculation model may be, for example,
  • SBP is systolic blood pressure
  • DBP diastolic blood pressure
  • PTT pulse wave transmission time
  • A blood pressure calculation coefficient
  • SBP 0 , DBP 0 and PTT 0 are calibration parameters in the calibration calculation model.
  • the calibration parameters in the calibrated calculation model include SBP 0 , DBP 0 , PTT 0 , where SBP 0 and DBP 0 are input by the user after measuring blood pressure by the cuff sphygmomanometer in the corresponding state, PTT 0 It is a value calculated using pulse wave data and ECG data in the user's corresponding state.
  • the blood pressure calculation strategy for determining the target is an uncalibrated blood pressure calculation strategy, and specifically includes:
  • an uncalibrated blood pressure calculation model and a body parameter of the measured target including at least one of age, gender, height, and weight.
  • the obtaining the blood pressure calculation strategy is specifically the same as in the foregoing step 103, the sphygmomanometer acquires the corresponding blood pressure according to the first state of the measured target.
  • the calculation strategy is the same, and the blood pressure value of the measured target can be obtained by using the same blood pressure calculation model, which will not be described here.
  • the sphygmomanometer may prompt the user to perform a calibration process. If the user does not select the calibration process to calibrate the sphygmomanometer, the blood pressure measurement is performed according to the method in which the sphygmomanometer is not calibrated.
  • FIG. 6 is a flowchart of a blood pressure measuring method according to an embodiment of the present invention. As shown in FIG. 6, the method includes:
  • step 601 the user wears a blood pressure monitor.
  • Step 602 the sphygmomanometer acquires first biometric information of the user, such as a pulse wave signal, an electrocardiogram signal, an acceleration signal, and/or an angular velocity signal.
  • first biometric information of the user such as a pulse wave signal, an electrocardiogram signal, an acceleration signal, and/or an angular velocity signal.
  • Step 603 the sphygmomanometer determines the state of the user according to the first biometric information.
  • the state of the user is a sitting posture
  • the position of the sphygmomanometer is the inner side of the right arm.
  • step 604 it is determined whether the sphygmomanometer is calibrated. If it has been calibrated, the process goes to step 605. If it is not calibrated, the process goes to step 606.
  • step 605 the sphygmomanometer obtains the calibration parameters in the calibrated blood pressure calculation model and the calibrated blood pressure calculation model, calculates the blood pressure value, and ends the measurement.
  • step 606 the sphygmomanometer prompts the user to input the standard blood pressure value in the state, and determines whether the user inputs. If yes, the process goes to step 607. If no, the process goes to step 608.
  • step 607 the sphygmomanometer calibrates the sphygmomanometer with the data input by the user, and proceeds to step 605.
  • step 608 the sphygmomanometer acquires the user's physical parameters and the uncalibrated blood pressure calculation model, calculates the blood pressure value, and ends the measurement.
  • the body parameters of the target to be tested include at least one of age, gender, height, and weight, which can be input by the user according to the prompt.
  • the blood pressure measuring method of the embodiment of the invention is simple in operation and high in precision.
  • an embodiment of the present invention further provides a blood pressure meter.
  • FIG. 7 is a schematic structural diagram of a blood pressure measuring device according to an embodiment of the present invention. As shown in FIG. 7, the blood pressure measuring device includes:
  • the feature information acquiring unit 701 is configured to acquire first biometric information of the measured object, where the first biometric information includes a pulse wave signal and/or an electrocardiogram signal of the measured target;
  • a state acquiring unit 702 configured to acquire, according to the first biometric information, a first state of the measured target, where the first state includes an active state of the measured target, a posture of the measured target, and a measured target At least one of the measurement positions of the pulse wave;
  • the blood pressure calculation strategy determining unit 703 is configured to determine a blood pressure calculation strategy of the measured target according to the first state
  • the blood pressure value determining unit 704 is configured to determine a blood pressure value of the measured target according to the blood pressure calculation strategy and the first biometric information.
  • the blood pressure measuring device of the embodiment of the present invention acquires first biometric information of the measured object, acquires a first state of the measured object according to the first biometric information of the measured target, and determines according to the first state of the measured target.
  • a blood pressure calculation strategy of the measured target determining a blood pressure value of the measured target according to the blood pressure calculation strategy and the first biometric information of the measured target, and therefore, the blood pressure measuring device according to the embodiment of the present invention takes the user into consideration when measuring the blood pressure The effect of the state on blood pressure is improved and improved, thereby improving the measurement accuracy of the blood pressure measuring device.
  • the first biometric information of the measured object further includes:
  • An acceleration signal and/or an angular velocity signal of the measured object An acceleration signal and/or an angular velocity signal of the measured object.
  • the blood pressure calculation strategy determining unit 703 is further configured to: if the blood pressure measurement device has been calibrated in the first state, determine that the blood pressure calculation strategy of the measured target is a calibrated blood pressure calculation strategy ;or,
  • the blood pressure calculation strategy determining unit 703 is further configured to: if the blood pressure measuring device is not calibrated in the first state, Then determining that the blood pressure calculation strategy of the measured target is an uncalibrated blood pressure calculation strategy.
  • the blood pressure calculation strategy determining unit 703 is further configured to determine a calibration blood pressure calculation model and a calibration parameter corresponding to the first state in the calibration blood pressure calculation model.
  • the blood pressure calculation strategy determining unit 703 is further configured to determine a first calibrated blood pressure calculation model according to the first state.
  • the calibrated blood pressure calculation model is:
  • SBP is systolic blood pressure
  • DBP diastolic blood pressure
  • PTT pulse wave transmission time
  • A blood pressure calculation coefficient
  • SBP 0 , DBP 0 and PTT 0 are calibration parameters in the calibration calculation model.
  • the blood pressure measuring device further includes a calibration unit, configured to calibrate the blood pressure measuring device before the blood pressure measuring device acquires the first biometric information of the measured target;
  • the calibration unit is further configured to acquire second biometric information of the measured target, where the second biometric information includes a pulse wave signal and/or an electrocardiographic signal of the measured target;
  • the calibration unit is further configured to acquire, according to the second biometric information, a second state of the measured target, where the second state includes an active state of the measured target, a posture of the measured target, and a measured target At least one of the measurement positions of the pulse wave;
  • the calibration unit is further configured to acquire a standard blood pressure value of the measured target in the second state
  • the calibration unit is further configured to determine, according to the standard blood pressure value and the second biometric information, a calibration parameter corresponding to the second state in the calibration blood pressure calculation model.
  • the blood pressure calculation strategy determining unit 703 is further configured to determine an uncalibrated blood pressure calculation model and a physical parameter of the measured target, wherein the physical parameters of the measured target include age, gender, height, and weight. At least one of them.
  • the uncalibrated blood pressure calculation model is:
  • SBP is systolic blood pressure
  • DBP is diastolic blood pressure
  • a 1 , A 2 , A 3 , A 4 , A 5 , A 6 , A 7 are systolic blood pressure calculation coefficients
  • B 1 , B 2 , B 3 , B 4 , B 5 , B 6 , B 7 are the diastolic pressure calculation coefficients
  • PTT is the pulse wave transmission time
  • Age is the age of the measured target
  • Hei is the height of the measured target
  • Wei is the weight of the measured target
  • Gen is the measured target.
  • Gender Z is the pulse wave characteristic parameter.
  • the active state of the measured target includes a motion state or a stationary state
  • the active state of the measured target is obtained by the state acquiring unit 702 according to an acceleration signal and/or an angular velocity of the measured target. Signal to determine;
  • the measurement position of the pulse wave includes a left limb or a right limb, and the measurement position of the pulse wave is determined by the state acquisition unit 702 according to a feature of a reference point of the electrocardiographic signal, or according to the Determining the acceleration and/or angular velocity of the measured target, or determining according to the amplitude of the pulse wave signal of the measured target;
  • the posture of the measured object includes at least one of a sitting posture, a standing posture, a kneeling posture, and a lying posture, and the posture of the measured target object is used by the state acquiring unit 702 according to an acceleration signal of the measured target and/or The angular velocity signal, and/or the characteristics of the pulse wave signal of the measured object are determined.
  • the sphygmomanometer according to the embodiment of the present invention can improve the accuracy of blood pressure measurement.
  • FIG. 8 is a schematic diagram of a terminal according to an embodiment of the present invention.
  • the terminal 800 in the embodiment of the present invention includes a processor 801, a storage device 802, a communication interface 803, and a bus 804 coupled to one or more storage devices.
  • Processor 801 is the control center of terminal 800 and provides sequencing and processing facilities to execute instructions, perform interrupt operations, provide timing functions, and many other functions.
  • the processor 801 includes one or more central processing units (CPUs).
  • the terminal device 800 includes more than one processor.
  • the processor 801 can be a single core (single CPU) processor or a multi-core (multi-CPU) processor.
  • the term "processor,” as used herein, refers to one or more devices, circuits, and/or processing cores for processing data such as computer program instructions.
  • Storage device 802 can include a storage medium and a memory unit.
  • the storage medium may be read-only, such as read only memory (ROM), or readable/writable, such as a hard disk or flash memory.
  • the memory unit can be a random access memory (RAM).
  • the memory unit can be physically integrated with processor 801 or integrated within processor 801 or constructed in one or more separate units.
  • the processor 801 can execute program code stored in the storage device 802. Alternatively, program code stored in a storage medium of storage device 802 may be copied into a memory unit for execution by the processor.
  • the processor may perform at least a core, e.g., to LINUZTM, UNIX TM, WINDOWS TM, ANDROID TM, IOS operating system kernel and the like sold under the trademark TM known by the kernel for controlling execution of other programs or processes, control and Communication of peripheral devices and control of the use of computing device resources to control the operation of terminal device 800.
  • the terminal device 800 also includes a communication interface 803 for communicating with another device or system, either directly or through an external network.
  • the above-described elements of the terminal device 800 can be coupled to each other by any one or any combination of the bus 804 such as a data bus, an address bus, a control bus, an expansion bus, and a local bus.
  • the bus 804 such as a data bus, an address bus, a control bus, an expansion bus, and a local bus.
  • the terminal device 800 further includes an output device and an input device (not shown in FIG. 8).
  • the output device is coupled to the processor 801 and is capable of displaying information in one or more ways.
  • One example of an output device is a visual display device, such as a liquid crystal display (LCD), a light emitting diode (LED) display, a cathode ray tube (CRT), or a projector.
  • the input device is also coupled to the processor 801 and is capable of receiving input from a user of the terminal device 800 in one or more ways. Examples of input devices include mice, keyboards, touch screen devices, sensing devices, and the like.
  • the processor 801 reads the program code and data stored in the storage device 802, and performs the following operations:
  • first biometric information of the measured target where the first biometric information includes a pulse wave signal and/or an electrocardiographic signal of the measured target;
  • the first biometric information of the measured object further includes:
  • An acceleration signal and/or an angular velocity signal of the measured object An acceleration signal and/or an angular velocity signal of the measured object.
  • the processor 801 is further configured to: if the terminal is calibrated in the first state, determine that the blood pressure calculation strategy of the measured target is a calibrated blood pressure calculation strategy; or
  • the processor 801 is further configured to determine that the blood pressure calculation strategy of the measured target is an uncalibrated blood pressure calculation strategy if the terminal is not calibrated in the first state.
  • the processor 801 is further configured to determine a calibration blood pressure calculation model and a calibration parameter corresponding to the first state in the calibration blood pressure calculation model.
  • the processor 801 is further configured to determine a first calibrated blood pressure calculation model according to the first state.
  • the calibration blood pressure calculation model is:
  • SBP is systolic blood pressure
  • DBP diastolic blood pressure
  • PTT pulse wave transmission time
  • A blood pressure calculation coefficient
  • SBP 0 , DBP 0 and PTT 0 are calibration parameters in the calibration blood pressure calculation model.
  • the processor 801 is further configured to: before the terminal acquires the first biometric information of the measured object, the terminal is calibrated; the processor calibrates the terminal, specifically:
  • the second biometric information includes a pulse wave signal and/or an electrocardiographic signal of the measured target
  • the processor 801 is further configured to determine an uncalibrated blood pressure calculation model and a physical parameter of the measured target, where the physical parameter of the measured target includes at least one of age, gender, height, and weight. Kind.
  • the uncalibrated blood pressure calculation model is:
  • SBP is systolic blood pressure
  • DBP is diastolic blood pressure
  • a 1 , A 2 , A 3 , A 4 , A 5 , A 6 , A 7 are systolic blood pressure calculation coefficients
  • B 1 , B 2 , B 3 , B 4 , B 5 , B 6 , B 7 are the diastolic pressure calculation coefficients
  • PTT is the pulse wave transmission time
  • Age is the age of the measured target
  • Hei is the height of the measured target
  • Wei is the weight of the measured target
  • Gen is the measured target.
  • Gender Z is the pulse wave characteristic parameter.
  • the active state of the measured target includes a motion state or a stationary state
  • the processor 801 is further configured to determine the target to be measured according to the acceleration signal and/or the angular velocity signal of the measured target. Active status;
  • the measurement position of the pulse wave includes a left limb or a right limb, and the processor 801 is further configured to determine according to a feature of a reference point of the electrocardiographic signal, or according to an acceleration of the measured target Or determining an angular velocity, or determining a measurement position of the pulse wave according to a magnitude of a pulse wave signal of the measured target;
  • the posture of the measured target includes at least one of a sitting posture, a standing posture, a kneeling posture, and a lying posture
  • the processor 801 is further configured to use an acceleration signal and/or an angular velocity signal according to the measured target, and/or A characteristic of the pulse wave signal of the measured target to determine a posture of the measured target.
  • the wearable device includes an ECG signal collecting device and a pulse wave signal collecting device, and the processor 801 controls the ECG signal collecting device and the pulse wave signal collecting device to obtain the ECG. Signal and pulse wave signal.
  • the terminal device 800 of the embodiment of the present invention is a general-purpose computing device or an application-specific computing device, such as a desktop computer, a notebook computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device
  • the processor 801 of the terminal device 800 needs to pass through a wearable device including an electrocardiographic signal collecting device and a pulse wave signal collecting device, that is, processing
  • the 801 controls the electrocardiographic signal acquisition device and the pulse wave signal acquisition device in the wearable device.
  • the terminal of the embodiment of the invention can improve the accuracy of blood pressure measurement, and in addition, the terminal is small in size and easy to operate.
  • the embodiment of the present invention provides a blood pressure measuring method, a blood pressure meter, and a terminal, and the blood pressure meter acquires a first state of the measured object according to the first biometric information of the measured target, according to the measured target
  • the first state determines a blood pressure calculation strategy of the measured target, and determines a blood pressure value of the measured target according to the blood pressure calculation strategy and the first biometric information of the measured target.
  • the blood pressure measuring method and the sphygmomanometer according to the embodiment of the present invention take into account the biological characteristics of the measured object and the influence of the state on the blood pressure when measuring the blood pressure, select an appropriate blood pressure calculation strategy to determine the blood pressure value of the measured target, and improve the blood pressure measurement. The accuracy is high.
  • the system embodiment since it basically corresponds to the method embodiment, it can be referred to the partial description of the method embodiment.
  • the system embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, ie may be located A place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment. Those of ordinary skill in the art can understand and implement without any creative effort.
  • the invention may be described in the general context of computer-executable instructions executed by a computer, such as a program module.
  • program modules include routines, programs, objects, components that perform particular tasks or implement particular abstract data types, Data structure and more.
  • the invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are connected through a communication network.
  • program modules can be located in both local and remote computer storage media including storage devices.

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Abstract

一种血压测量方法、血压测量装置以及终端，所述方法包括：终端获取被测目标的第一生物特征信息，所述被测目标的第一生物特征信息包括被测目标的脉搏波信号和/或心电信号；所述终端根据所述被测目标的第一生物特征信息，获取被测目标的第一状态，所述被测目标的第一状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种；所述终端根据所述被测目标的第一状态，确定所述被测目标的血压计算策略；所述终端根据所述血压计算策略和所述被测目标的第一生物特征信息，确定所述被测目标的血压值。所述血压测量方法、血压测量装置以及终端能提高血压测量的精度。

Description

血压测量方法、血压测量装置以及终端 技术领域
本发明涉及测量领域，特别涉及一种血压测量方法、血压测量装置以及终端。
背景技术
高血压是一种常见的心血管疾病，经常性的测量血压是确保高血压患者健康的重要手段之一。血压检测装置也称为血压计，通常分为袖带式血压计和无袖带式血压计。袖带式血压计精确度较高，但是体积大，不易携带且操作繁琐，因此，无袖带式血压计是近年来血压检测装置的主要发展方向。
无袖带血压计是根据血压与脉搏波之间的关系来确定血压，具体来说，脉搏波沿动脉传输的速度与动脉血压之间具有正相关性，当血压上升时，血管扩张，脉搏波传输速度加快；反之，当血压降低时，脉搏波的传输速度减慢。此外，脉搏波的传输速度还与被测者的年龄、动脉壁弹性、血液密度等生理参数相关，而被测者的生理参数因人而异，因此，利用脉搏波的传输速度获取血压时需要针对每个被测者进行校准。
无袖带式血压计的校准方法分为手动校准和自动校准两种方式，手动校准是利用袖带式血压计的测量结果校准无袖带式血压计的测量结果。手动校准血压计的方法繁琐，且由于被测者生理参数的实时变化，导致无袖带式血压计的精确度仍然不高。自动校准是根据脉搏波在传播过程中受到血管阻力、血管壁弹性和血液粘性等来自动修正原始测量值，以得到更为精确的血压值。
但是，被测者的测量部位不同，以及处于不同姿势下的血压存在差异，例如右手的动脉来自主动脉弓的第一大分支，左手的动脉来自于主动脉弓的第三分支，一般人的左右手臂的血压值存在10-20mmHg的差异，对于高血压患者而言，随着心血管功能减退，左右手臂的血压值差异可能更高；姿势对于血压的影响来源于重力，平躺时收缩压升高，坐姿时收缩压降低；而舒张压恰相反，站姿时舒张压高于卧姿。
现有的无袖带式血压计的校准方法并未考虑到上述被测部位的不同以及被测者姿势的不同对血压测量值带来的影响，因此精确度仍然不高。
发明内容
有鉴于此，本发明实施例的目的是提供一种血压测量方法、血压测量装置以及终端，能解决现有技术中无袖带式血压检测的结果精确度不高的问题。
为了解决上述技术问题，本发明实施例公开了如下技术方案：
第一方面，提供了一种血压测量方法，所述方法包括：
终端获取被测目标的第一生物特征信息，所述第一生物特征信息包括被测目标的脉搏波信号和/或心电信号；
所述终端根据所述第一生物特征信息，获取所述被测目标的第一状态，所述第一状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种；
所述终端根据所述第一状态，确定所述被测目标的血压计算策略；
所述终端根据所述血压计算策略和所述第一生物特征信息，确定所述被测目标的血压值。
结合第一方面，在第一方面的第一种可能实现方式中，所述被测目标的第一生物特征信息还包括：
所述被测目标的加速度信号和/或角速度信号。
结合第一方面或第一方面的第一种可能实现方式，在第一方面的第二种可能实现方式中，所述终端根据所述第一状态，确定所述被测目标的血压计算策略，具体包括：
若所述第一状态时所述终端已标定，则确定所述被测目标的血压计算策略为已标定血压计算策略；或，
若所述第一状态时所述终端未标定，则确定所述被测目标的血压计算策略为未标定血压计算策略。
结合第一方面的第二种可能实现方式，在第一方面的第三种可能实现方式中，其特征在于，所述确定所述被测目标的血压计算策略为已标定血压计算策略，具体包括：
确定已标定血压计算模型以及所述已标定血压计算模型中与所述第一状态对应的标定参数。
结合第一方面的第三种可能实现方式，在第一方面的第四种可能实现方式中，所述确定已标定血压计算模型，具体为：
根据所述第一状态确定第一已标定血压计算模型。
结合第一方面的第三种可能实现方式或第一方面的第四种可能实现方式，在第一方面 的第五种可能实现方式中，所述已标定血压计算模型为：
Figure PCTCN2015090808-appb-000001
Figure PCTCN2015090808-appb-000002
其中，SBP为收缩压，DBP为舒张压，PTT为脉搏波传输时间，A为血压计算系数，SBP0、DBP0、PTT0为所述已标定血压计算模型中的标定参数。
结合第一方面至第一方面的第五种可能实现方式中的任一种可能实现方式，在第一方面的第六种可能实现方式中，其特征在于，在所述终端获取被测目标的第一生物特征信息之前，所述方法还包括：标定所述终端；
所述标定所述终端包括：
所述终端获取所述被测目标的第二生物特征信息，所述第二生物特征信息包括被测目标的脉搏波信号和/或心电信号；
所述终端根据所述第二生物特征信息，获取所述被测目标的第二状态，所述第二状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种；
所述终端获取所述被测目标在所述第二状态时的标准血压值；
所述终端根据所述标准血压值和所述第二生物特征信息，确定已标定血压计算模型中与所述第二状态对应的标定参数。
结合第一方面的第二种可能实现方式，在第一方面的第七种可能实现方式中，其特征在于，所述确定所述被测目标的血压计算策略为未标定血压计算策略，具体包括：
确定未标定血压计算模型以及所述被测目标的身体参数，所述被测目标的身体参数包括年龄、性别、身高、体重中的至少一种。
结合第一方面的第七种可能实现方式，在第一方面的第八种可能实现方式中，所述未标定血压计算模型为：
SBP＝A1ln PTT+A2Age+A3Hei+A4Wei+A5Gen+A6ln Z+A7
DBP＝B1ln PTT+B2Age+B3Hei+B4Wei+B5Gen+B6ln Z+B7
其中，SBP为收缩压，DBP为舒张压，A1，A2，A3，A4，A5，A6，A7为收缩压计算系数， B1，B2，B3，B4，B5，B6，B7为舒张压计算系数，PTT为脉搏波传输时间，Age为被测目标的年龄，Hei为被测目标的身高，Wei为被测目标的体重，Gen为被测目标的性别，Z为脉搏波特征参数。
结合第一方面至第一方面的第八种可能实现方式中的任一种可能实现方式，在第一方面的第九种可能实现方式中，所述被测目标的活动状态包括运动状态、或静止状态，所述被测目标的活动状态根据所述被测目标的加速度信号和/或角速度信号来确定；
所述脉搏波的测量位置包括左侧肢体、或右侧肢体，所述脉搏波的测量位置根据所述心电信号的参考点的特征来确定，或者，根据所述被测目标的加速度和/或角速度来确定，或者，根据所述被测目标的脉搏波信号的幅值来确定；
所述被测目标的姿态包括坐姿、站姿、蹲姿或卧姿中的至少一种，所述被测目标的姿态根据所述被测目标的加速度信号和/或角速度信号、和/或所述被测目标的脉搏波信号的特征来确定。
第二方面，提供了一种血压测量装置，所述血压测量装置包括：
特征信息获取单元，用于获取被测目标的第一生物特征信息，所述第一生物特征信息包括被测目标的脉搏波信号和/或心电信号；
状态获取单元，用于根据所述第一生物特征信息，获取所述被测目标的第一状态，所述第一状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种；
血压计算策略确定单元，用于根据所述第一状态，确定所述被测目标的血压计算策略；
血压值确定单元，用于根据所述血压计算策略和所述第一生物特征信息，确定所述被测目标的血压值。
结合第二方面，在第二方面的第一种可能实现方式中，所述被测目标的第一生物特征信息还包括：
所述被测目标的加速度信号和/或角速度信号。
结合第二方面或第二方面的第一种可能实现方式，在第二方面的第二种可能实现方式中，所述血压计算策略确定单元还用于，若所述第一状态时所述血压测量装置已标定，则确定所述被测目标的血压计算策略为已标定血压计算策略；或，
所述血压计算策略确定单元还用于，若所述第一状态时所述血压测量装置未标定，则确定所述被测目标的血压计算策略为未标定血压计算策略。
结合第二方面的第二种可能实现方式，在第二方面的第三种可能实现方式中，所述血压计算策略确定单元还用于确定已标定血压计算模型以及所述已标定血压计算模型中与所述第一状态对应的标定参数。
结合第二方面的第三种可能实现方式，在第二方面的第四种可能实现方式中，所述血压计算策略确定单元还用于根据所述第一状态确定第一已标定血压计算模型。
结合第二方面的第三种可能实现方式或第二方面的第四种可能实现方式，在第二方面的第五种可能实现方式中，所述已标定血压计算模型为：
Figure PCTCN2015090808-appb-000003
Figure PCTCN2015090808-appb-000004
其中，SBP为收缩压，DBP为舒张压，PTT为脉搏波传输时间，A为血压计算系数，SBP0、DBP0、PTT0为所述已标定计算模型中的标定参数。
结合第二方面至第二方面的第五种可能实现方式中的任一种可能实现方式，在第二方面的第六种可能实现方式中，所述血压测量装置还包括标定单元，用于在所述血压测量装置获取被测目标的第一生物特征信息之前，标定所述血压测量装置；
所述标定单元还用于获取所述被测目标的第二生物特征信息，所述第二生物特征信息包括被测目标的脉搏波信号和/或心电信号；
所述标定单元还用于根据所述第二生物特征信息，获取所述被测目标的第二状态，所述第二状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种；
所述标定单元还用于获取所述被测目标在所述第二状态时的标准血压值；
所述标定单元还用于根据所述标准血压值和所述第二生物特征信息，确定已标定血压计算模型中与所述第二状态对应的标定参数。
结合第二方面的第二种可能实现方式，在第二方面的第七种可能实现方式中，所述血压计算策略确定单元还用于确定未标定血压计算模型以及所述被测目标的身体参数，所述被测目标的身体参数包括年龄、性别、身高、体重中的至少一种。
结合第二方面的第七种可能实现方式，在第二方面的第八种可能实现方式中，所述未标定血压计算模型为：
SBP＝A1ln PTT+A2Age+A3Hei+A4Wei+A5Gen+A6ln Z+A7
DBP＝B1ln PTT+B2Age+B3Hei+B4Wei+B5Gen+B6ln Z+B7
其中，SBP为收缩压，DBP为舒张压，A1，A2，A3，A4，A5，A6，A7为收缩压计算系数，B1，B2，B3，B4，B5，B6，B7为舒张压计算系数，PTT为脉搏波传输时间，Age为被测目标的年龄，Hei为被测目标的身高，Wei为被测目标的体重，Gen为被测目标的性别，Z为脉搏波特征参数。
结合第二方面至第二方面的第八种可能实现方式中的任一种可能实现方式，在第二方面的第九种可能实现方式中，所述被测目标的活动状态包括运动状态、或静止状态，所述被测目标的活动状态由所述状态获取单元根据所述被测目标的加速度信号和/或角速度信号来确定；
所述脉搏波的测量位置包括左侧肢体、或右侧肢体，所述脉搏波的测量位置由所述状态获取单元根据所述心电信号的参考点的特征来确定，或者，根据所述被测目标的加速度和/或角速度来确定，或者，根据所述被测目标的脉搏波信号的幅值来确定；
所述被测目标的姿态包括坐姿、站姿、蹲姿或卧姿中的至少一种，所述被测目标的姿态由所述状态获取单元根据所述被测目标的加速度信号和/或角速度信号、和/或所述被测目标的脉搏波信号的特征来确定。
第三方面，提供了一种终端，所述终端包括处理器、存储设备以及通信接口；
所述存储设备，用于存储计算机可执行程序代码；
所述处理器、所述存储设备和所述通信接口通过总线相互通信；
所述处理器通过读取所述存储设备中存储的程序代码和数据，执行以下操作：
获取被测目标的第一生物特征信息，所述第一生物特征信息包括被测目标的脉搏波信号和/或心电信号；
根据所述第一生物特征信息，获取所述被测目标的第一状态，所述第一状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种；
根据所述第一状态，确定所述被测目标的血压计算策略；
根据所述血压计算策略和所述第一生物特征信息，确定所述被测目标的血压值。
结合第三方面，在第三方面的第一种可能实现方式中，所述被测目标的第一生物特征信息还包括：
所述被测目标的加速度信号和/或角速度信号。
结合第三方面或第三方面的第一种可能实现方式，在第三方面的第二种可能实现方式中，所述处理器还用于若所述第一状态时所述终端已标定，则确定所述被测目标的血压计算策略为已标定血压计算策略；或，
所述处理器还用于若所述第一状态时所述终端未标定，则确定所述被测目标的血压计算策略为未标定血压计算策略。
结合第三方面的第二种可能实现方式，在第三方面的第三种可能实现方式中，所述处理器还用于确定已标定血压计算模型以及所述已标定血压计算模型中与所述第一状态对应的标定参数。
结合第三方面的第三种可能实现方式，在第三方面的第四种可能实现方式中，所述处理器还用于根据所述第一状态确定第一已标定血压计算模型。
结合第三方面的第三种可能实现方式或第三方面的第四种可能实现方式，在第三方面的第五种可能实现方式中，所述已标定血压计算模型为：
Figure PCTCN2015090808-appb-000005
Figure PCTCN2015090808-appb-000006
其中，SBP为收缩压，DBP为舒张压，PTT为脉搏波传输时间，A为血压计算系数，SBP0、DBP0、PTT0为所述已标定血压计算模型中的标定参数。
结合第三方面至第三方面的第五种可能实现方式中的任一种可能实现方式，在第三方面的第六种可能实现方式中，所述处理器还用于在所述血压计获取被测目标的第一生物特征信息之前，标定所述终端；
所述处理器标定所述终端，具体用于：
获取所述被测目标的第二生物特征信息，所述第二生物特征信息包括被测目标的脉搏 波信号和/或心电信号；
根据所述第二生物特征信息，获取所述被测目标的第二状态，所述第二状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种；
获取所述被测目标在所述第二状态时的标准血压值；
根据所述标准血压值和所述第二生物特征信息，确定已标定血压计算模型中与所述第二状态对应的标定参数。
结合第三方面的第二种可能实现方式，在第三方面的第七种可能实现方式中，所述处理器还用于确定未标定血压计算模型以及所述被测目标的身体参数，所述被测目标的身体参数包括年龄、性别、身高、体重中的至少一种。
结合第三方面的第七种可能实现方式，在第三方面的第八种可能实现方式中，所述未标定血压计算模型为：
SBP＝A1ln PTT+A2Age+A3Hei+A4Wei+A5Gen+A6ln Z+A7
DBP＝B1ln PTT+B2Age+B3Hei+B4Wei+B5Gen+B6ln Z+B7
其中，SBP为收缩压，DBP为舒张压，A1，A2，A3，A4，A5，A6，A7为收缩压计算系数，B1，B2，B3，B4，B5，B6，B7为舒张压计算系数，PTT为脉搏波传输时间，Age为被测目标的年龄，Hei为被测目标的身高，Wei为被测目标的体重，Gen为被测目标的性别，Z为脉搏波特征参数。
结合第三方面至第三方面的第八种可能实现方式中的任一种可能实现方式，在第三方面的第九种可能实现方式中，所述被测目标的活动状态包括运动状态、或静止状态，所述处理器还用于根据所述被测目标的加速度信号和/或角速度信号来确定被测目标的活动状态；
所述脉搏波的测量位置包括左侧肢体、或右侧肢体，所述处理器还用于根据所述心电信号的参考点的特征来确定，或者，根据所述被测目标的加速度和/或角速度来确定，或者，根据所述被测目标的脉搏波信号的幅值来确定所述脉搏波的测量位置；
所述被测目标的姿态包括坐姿、站姿、蹲姿或卧姿中的至少一种，所述处理器还用于根据所述被测目标的加速度信号和/或角速度信号、和/或所述被测目标的脉搏波信号的特征来确定所述被测目标的姿态。
本发明实施例提供了一种血压测量方法、血压测量装置以及终端，所述方法中， 血压计获取被测目标的第一生物特征信息，所述被测目标的第一生物特征信息包括被测目标的脉搏波信号和/或心电信号；所述血压计根据所述被测目标的第一生物特征信息，获取被测目标的第一状态，根据所述被测目标的第一状态，确定所述被测目标的血压计算策略，根据所述血压计算策略和所述被测目标的第一生物特征信息，确定所述被测目标的血压值。本发明实施例的血压测量方法、血压测量装置和终端，在测量血压时考虑了被测目标的生物特征以及状态对血压的影响，选择合适的血压计算策略来确定被测目标的血压值，提高了血压测量的精确度高。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性的，并不能限制本发明的保护范围。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1所示为本发明实施例的血压测量方法的流程图；
图2所示为本发明实施例的三轴陀螺仪采集的信号的示意图；
图3所示为本发明实施例的心电信号示意图；
图4所示为本发明实施例的脉搏波的变化示意图；
图5所示为本发明实施例的标定血压计的方法的流程图；
图6所示为本发明实施例的血压测量方法的流程图；
图7所示为本发明实施例的血压计的结构示意图；
图8所示为本发明实施例的终端的示意图。
通过上述附图，已示出本发明明确的实施例，后文中将有更详细的描述。这些附图和文字描述并不是为了通过任何方式限制本发明构思的范围，而是通过参考特定实施例为本领域技术人员说明本发明的概念。
具体实施方式
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
为了全面理解本发明，在以下详细描述中提到了众多具体的细节，但是本领域技术人员应该理解，本发明可以无需这些具体细节而实现。在其他实施例中，不详细描述公知的方法、过程、组件和电路，以免不必要地导致实施例模糊。
当本发明实施例提及“第一”、“第二”等序数词时，除非根据上下文确定表达顺序之意，应当理解为仅仅起区分的作用。
本发明实施例提供了一种血压测量方法、血压测量装置和终端，能提高血压检测的精确度。
图1所示为本发明实施例的血压测量方法的流程图，本发明实施例的血压测量方法由终端执行，该终端例如可以为具有血压测量功能的可穿戴设备，如无袖带式血压计，下文均以血压计代表本实施例中的终端作为列举说明。
如图1所示，所述方法包括：
步骤101，血压计获取被测目标的第一生物特征信息。
本发明实施例中，所述被测目标的第一生物特征信息包括被测目标的脉搏波信号和/或心电信号。
进一步的，本发明实施例中，所述被测目标的第一生物特征信息还包括所述被测目标的加速度信号和/或角速度信号。
本发明实施例中，脉搏波信号可以采用光传感器、压力传感器、声传感器、光电传感器、加速度传感器或位移传感器来采集；心电信号可以采用心电传感器进行采集；加速度信号和/或角速度信号可以采用加速度传感器、陀螺仪或磁力计等进行采集。具体采集方法在此不再赘述。
本发明实施例中，可以对采集的心电信号和/或脉搏波信号进行滤波处理。对心电信号和/或脉搏波信号进行滤波处理是为了滤除干扰，滤波方法可以采用现有技术中的任意一种，在此不在赘述。
步骤102，血压计根据被测目标的第一生物特征信息，获取被测目标的第一状态。
本发明实施例中，被测目标的第一状态包括被测目标的活动状态、被测目标的姿态以 及被测目标的脉搏波的测量位置中的至少一种。
被测目标的活动状态包括运动状态、或静止状态，所述被测目标的活动状态根据所述被测目标的加速度信号和/或角速度信号来确定。
所述被测目标的姿态包括坐姿、站姿、蹲姿或卧姿中的至少一种，被测目标的姿态根据所述被测目标的加速度信号和/或角速度信号、和/或脉搏波的信号特征来确定。
所述脉搏波的测量位置包括左侧肢体或右侧肢体，所述测量位置还包括上肢或下肢、或肢体外侧或肢体内侧。脉搏波的测量位置根据所述心电信号的参考点的特征来确定，或者，所述脉搏波的测量位置根据所述被测目标的加速度或角速度来确定，或者，所述脉搏波的测量位置根据所述被测目标的脉搏波信号的幅值来确定。
例如：可以根据脉搏波信号的幅值判断血压计测量脉搏波的位置是在肢体外侧或者肢体内侧，由于桡动脉靠近手臂内侧，当肢体内侧的脉搏波信号的幅值会大于肢体外侧脉搏波的幅值。
具体来说，脉搏波的测量位置可以通过三轴陀螺仪来检测，图2所示为本发明实施例的三轴陀螺仪采集的信号的示意图，如图2所示，可以根据三轴陀螺仪的X、Y、Z轴的信号分量可以来判断用户的脉搏波的测量位置。
如图2(a)所示，x轴的信号幅值大于y轴和z轴的信号幅值；y轴信号出现波动时先正后负；z轴信号出现波动时先负后正。该图所示的测量位置是左手臂内侧。
如图2(b)所示，x轴的信号幅值小于y轴和z轴的信号幅值；y轴信号出现波动时先负后正；z轴信号出现波动时先正后负。该图所示的测量位置是左手臂外侧。
如图2(c)所示，x轴的信号幅值有明显波动；y轴信号出现波动时先负后正；z轴信号出现波动时先正后负。该图所示的测量位置是右手臂内侧。
如图2(d)所示，x轴的信号幅值小于y轴和z轴的信号幅值；y轴信号出现波动时先正后负；z轴信号出现波动时先负后正。该图所示的测量位置是右手臂外侧。
脉搏的测量位置也可以通过三轴加速度计来检测，与三轴陀螺仪类似，即可以根据三轴陀螺仪的X、Y、Z轴的信号分量可以来判断用户的脉搏波的测量位置。实际中也可以结合三轴加速度计和三轴陀螺仪一同判断，可以会增加识别准确度。
脉搏波的测量位置还可以通过心电信号的参考点的特征来判断。心电信号实际是体表不同位置的电位差，例如，血压计佩戴在左手臂时，心电信号是右手臂电位值减去左手臂电位值；佩戴在右手臂时，是左手臂电位值减去右手臂电位值。因此，当血 压计佩戴在不同侧时，信号特征是明显不同的。
图3所示为本发明实施例的心电信号示意图，如图3(a)所示，当血压计佩戴在左手时，心电信号的R波顶点301、302以及303在基线之上。图3(a)中只示例性的表示出部分R波以及R波的顶点。
当血压计佩戴在右手时，心电信号的R波信号顶点304、305以及306等是在基线之下的。图3(b)中只示例性的表示出部分R波以及R波的顶点。
在本发明其他实施例中，也可以定义为血压计佩戴在右手臂时，是左手臂电位值减去右手臂电位值；血压计佩戴在左手臂时，心电信号是右手臂电位值减去左手臂电位值。血压计的定义方式是出厂时预设的。
在实际应用中，也可能存在难以判断心电信号的中的R波是在基线上方还是基线下方的情况，此时，可以再利用上述陀螺仪和/或加速度计的判断方法进行辅助判定。
除上述利用传感器自动识别脉搏波的测量位置的方法外，实际中也可能存在需要用户确认脉搏波的测量位置，及血压计的佩带位置的情况。例如，用户在坐姿时手臂平放，此时将血压计佩戴在一只手臂上，此时难以通过加速度计和/或陀螺仪判断佩戴的手臂，心电信号也可能如上所述特征不明显。在这些难以判定佩带位置的情况下，血压计可以通过屏幕提示选项，例如左手、右手，供用户选择，或通过语音交互供用户确认当前的佩戴位置，其中，左手、右手分别代表左手臂、右手臂。
实际应用中，血压计也可以不利用传感器判断脉搏波测量位置，而直接通过用户选择的方式来确定。
步骤103，血压计根据被测目标的第一状态，确定被测目标的血压计算策略。
血压计算策略包括多种，例如，计算左手血压的策略或计算右手血压的策略，计算坐姿时的血压的策略或计算卧姿时的血压的策略，计算运动时的血压的策略或计算静止时的血压的策略；又如，坐姿下计算左手内侧的血压的策略，跑步时计算右手外侧的血压的策略等。
图4所示为本发明实施例的脉搏波的变化示意图，如图4所示，A区脉搏波比较平稳，且幅值较高，该时间段被测用户为坐姿；B区脉搏波的幅值从小至大变化，且平均幅值较小，该时间段内被测用户为卧姿。
可见，被测目标的第一状态不同，血压的大小不同。从而，本发明实施例提出根据被测目标的第一状态来确定血压计算策略。
进一步的，本发明实施例中，确定血压计算策略，具体包括：
确定血压计算模型以及所述被测目标的身体参数，所述被测目标的身体参数包括年龄、性别、身高、体重中的至少一种。本发明实施例中，血压计算模型，例如可以为：
SBP＝A1ln PTT+A2Age+A3Hei+A4Wei+A5Gen+A6ln Z+A7    (1)
DBP＝B1ln PTT+B2Age+B3Hei+B4Wei+B5Gen+B6ln Z+B7    (2)
其中，SBP为收缩压，DBP为舒张压，A1，A2，A3，A4，A5，A6，A7为收缩压计算系数，B1，B2，B3，B4，B5，B6，B7为舒张压计算系数，PTT为脉搏波传输时间，Age为被测目标的年龄，Hei为被测目标的身高，Wei为被测目标的体重，Gen为被测目标的性别，Z为脉搏波特征参数。
脉搏波特征参数Z可以包括脉搏波二阶导数零点、脉搏波面积、脉搏波上升时间、脉搏波下降时间、脉搏波高度中的至少一项。
本发明的实施例中，上述血压计算模型中各系数中的一个或多个，可以因第一状态的不同而选取不同的值，具体的选值方式可以通过大量实验数据的分析来确定。选择适用于测量不同第一状态下的系数A1-A7、B1-B7，能够获得相对准确的血压测量值。
比如，第一状态为卧姿，则选择对应卧姿下测量血压的系数A1-A7、B1-B7；再如，第一状态为坐姿下右侧姿体测量，则选择对应的系数A1-A7、B1-B7。因此，可以根据不同的第一状态，通过模型不同的系数选定来调整计算模型。
本发明的实施例中，例如：A1、B1可以与第一状态为被测目标的脉搏波的测量位置，如左侧姿体还是右侧姿体相关，由于左侧姿体的血压值通常低于右侧姿体的血压值，那么当判断第一状态为左侧姿体时，则选择稍小的A1、B1，当判断第一状态为右侧姿体时，则A1、B1会稍大于左侧姿体时的A1、B1，此时，其他系数可以为通过实验数据分析确定的常数，也可以是根据被测目标的脉搏波的测量位置选择的变量；再例如，A7、B7可以与第一状态为姿态相关，由于卧姿时的血压值大于坐姿的血压值，那么当判断第一状态为坐姿时，则选择稍小的A7、B7，当判断第一状态为卧姿时，则A7、B7会稍大于坐姿时的A7、B7，同样此时，其他系数可以为通过实验数据分析确定的常数，也可以是根据姿态选择的变量。
当然，上述实施例仅示例性的进行了说明，本发明的实施例中，系数A1-A7、B1-B7 不具体限定与何种状态相关，具体可以根据实验数据分析确定。只要是根据不同状态选取了不同的A1-A7、B1-B7系数来确定被测目标的血压值，则均在本发明实施例的保护范围。
步骤104，血压计根据血压计算策略和被测目标的第一生物特征信息，确定被测目标的血压值。
本发明实施例中，血压计会根据被测目标的第一生物特征信息，选取预设的血压计算模型中的系数A1-A7、B1-B7，从而通过上述血压计算模型确定被测目标的血压值。
其中，预设的血压计算模型中的系数A1-A7、B1-B7，是通过大量实验获得的数据，例如可以以对应表的形式存储在血压计的存储单元中。
本发明实施例的血压计是无袖带式血压计，本发明实施例的血压测量方法通过无袖带式血压计实时，血压计获取被测目标的第一特征信息，所述被测目标的第一特征信息包括第一生物特征信息，根据被测目标的第一生物特征信息，获取被测目标的第一状态，根据所述被测目标的第一状态，获取对应的血压计算策略；根据血压计算策略和所述被测目标的第一生物特征信息，获取所述被测目标的血压值。本发明实施例的血压测量方法和血压计，在测量血压时考虑了被测目标的生物特征，以及测量血压时的状态来确定血压计算策略，精确度高。
进一步的，本发明实施例在获取被测目标的第一生物特征信息之前，还可以包括对血压计的标定。图5所示为本发明实施例的标定血压计的方法的流程图。如图5所示，标定血压计的方法包括：
步骤501，血压计获取被测目标的第二生物特征信息。
被测目标的第二特征信息包括被测目标的脉搏波信号和/或心电信号。
步骤502，血压计根据被测目标的第二生物特征信息，获取被测目标的第二状态。
被测目标的第二状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种。
步骤503，获取被测目标在第二状态下对应的标准血压值。
步骤504，根据标准血压值和第二生物特征信息，确定已标定血压计算模型中与第二状态对应的标定参数。
本发明实施例中，标定血压计可以在血压计初次使用时，或者更换未记录的被测目标时进行的。一旦血压计在某一被测目标的某一状态下被标定，下一次在相同状态 下无需再次标定，血压计会自动调用存储的数据，简化了操作步骤。同时，对被测用户在不同状态下对血压计进行标定，提高了血压测量的精度。
其中，已标定血压计算模型可以是与被测目标的状态无关的模型，也可以是与不同状态对应的多个模型，具体获取已标定血压计算模型以及其中标定参数的方法与步骤501-504相同，在此不再赘述。
当然血压计也可以不进行标定，而直接进行被测目标血压的测量。
进一步的，在本发明实施例的步骤103中，所述血压计根据所述被测目标的第一状态，确定被测目标的血压计算策略，可以具体包括：
若所述第一状态时所述血压计已标定，则确定被测目标的血压计算策略为已标定血压计算策略；或，
若所述第一状态时所述血压计未标定，则确定被测目标的血压计算策略为未标定血压计算策略。
对于所述第一状态时所述血压计已标定来说，已标定血压计算模型可以为一个，也可以为多个，其中，当已标定血压计算模型与被测目标的状态无关的模型时，即血压计算模型仅与血压计本身相关时，确定被测目标的血压计算策略为已标定血压计算策略，具体包括：
确定已标定血压计算模型以及所述已标定计算模型中与所述第一状态对应的标定参数。
可选的，当已标定血压计算模型是与多个状态对应的多个模型时，确定被测目标的血压计算策略为已标定血压计算策略，具体包括：
确定与所述第一状态对应的已标定血压计算模型以及所述已标定计算模型中与所述第一状态对应的标定参数。
本发明实施例中，已标定血压计算模型例如可以为，
Figure PCTCN2015090808-appb-000007
Figure PCTCN2015090808-appb-000008
其中，SBP为收缩压，DBP为舒张压，PTT为脉搏波传输时间，A为血压计算系数， SBP0、DBP0、PTT0为所述已标定计算模型中的标定参数。
在实际应用中，已标定计算模型中的标定参数包括SBP0、DBP0、PTT0，其中SBP0、DBP0是由用户在对应状态下通过袖带式血压计测量血压后输入的，PTT0是使用用户对应状态下的脉搏波数据和心电数据计算出来的值。
对于所述第一状态时所述血压计未标定来说，本发明实施例中，所述确定被测目标的血压计算策略为未标定血压计算策略，具体包括：
获取未标定血压计算模型以及所述被测目标的身体参数，所述被测目标的身体参数包括年龄、性别、身高、体重中的至少一种。
本发明实施例中，若所述第一状态时所述血压计未标定则所述获取所述血压计算策略具体与前述步骤103中，血压计根据被测目标的第一状态，获取对应的血压计算策略相同，可以采用相同的血压计算模型获得被测目标的血压值，在此不再赘述。
进一步的，若所述第一状态时所述血压计未标定，血压计可以提示用户进行标定流程，如果用户未选择标定流程标定血压计，则根据上述血压计未标定的方法进行血压测量。
图6所示为本发明实施例的血压测量方法的流程图，如图6所示，所述方法包括：
步骤601，用户佩带血压计。
步骤602，血压计获取用户的第一生物特征信息，例如脉搏波信号、心电信号、加速度信号和/或角速度信号。
步骤603，血压计根据上述第一生物特征信息判断用户的状态。
例如，判断用户的状态为坐姿，血压计佩带位置为右手臂内侧。
步骤604，判断血压计是否标定，若已标定，则转至步骤605，若未标定，则转至步骤606。
步骤605，血压计获取已标定血压计算模型以及已标定血压计算模型中的标定参数，计算出血压值，结束测量。
步骤606，血压计提示用户输入该状态下的标准血压值，判断用户是否输入，若是，则转至步骤607，若否，则转至步骤608。
步骤607，血压计以用户输入的数据标定血压计，转至步骤605。
步骤608，血压计获取用户的身体参数和未标定血压计算模型，计算血压值，结束测量。
被测目标的身体参数包括年龄、性别、身高、体重中的至少一种，可以由用户根据提示输入。
本发明实施例的血压测量方法，操作简便，精确度高。
对应于上述血压测量方法，本发明实施例还提供了一种血压计。
图7所示为本发明实施例的血压测量装置的结构示意图，如图7所示，所述血压测量装置包括：
特征信息获取单元701，用于获取被测目标的第一生物特征信息，所述第一生物特征信息包括被测目标的脉搏波信号和/或心电信号；
状态获取单元702，用于根据所述第一生物特征信息，获取所述被测目标的第一状态，所述第一状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种；
血压计算策略确定单元703，用于根据所述第一状态，确定所述被测目标的血压计算策略；
血压值确定单元704，用于根据所述血压计算策略和所述第一生物特征信息，确定所述被测目标的血压值。
本发明实施例的血压测量装置，获取被测目标的第一生物特征信息，根据被测目标的第一生物特征信息，获取被测目标的第一状态；根据被测目标的第一状态，确定被测目标的血压计算策略；根据血压计算策略和被测目标的第一生物特征信息，确定被测目标的血压值，因此，本发明实施例的血压测量装置在测量血压时考虑到用户所处状态对血压的影响，并对此进行了改善，从而提高了血压测量装置的测量精度。
进一步的，本发明实施例中，所述被测目标的第一生物特征信息还包括：
所述被测目标的加速度信号和/或角速度信号。
本发明实施例中，所述血压计算策略确定单元703还用于，若所述第一状态时所述血压测量装置已标定，则确定所述被测目标的血压计算策略为已标定血压计算策略；或，
所述血压计算策略确定单元703还用于，若所述第一状态时所述血压测量装置未标定， 则确定所述被测目标的血压计算策略为未标定血压计算策略。
本发明实施例中，所述血压计算策略确定单元703还用于确定已标定血压计算模型以及所述已标定血压计算模型中与所述第一状态对应的标定参数。
本发明实施例中，所述血压计算策略确定单元703还用于根据所述第一状态确定第一已标定血压计算模型。
所述已标定血压计算模型为：
Figure PCTCN2015090808-appb-000009
Figure PCTCN2015090808-appb-000010
其中，SBP为收缩压，DBP为舒张压，PTT为脉搏波传输时间，A为血压计算系数，SBP0、DBP0、PTT0为所述已标定计算模型中的标定参数。
本发明实施例中，所述血压测量装置还包括标定单元，用于在所述血压测量装置获取被测目标的第一生物特征信息之前，标定所述血压测量装置；
所述标定单元还用于获取所述被测目标的第二生物特征信息，所述第二生物特征信息包括被测目标的脉搏波信号和/或心电信号；
所述标定单元还用于根据所述第二生物特征信息，获取所述被测目标的第二状态，所述第二状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种；
所述标定单元还用于获取所述被测目标在所述第二状态时的标准血压值；
所述标定单元还用于根据所述标准血压值和所述第二生物特征信息，确定已标定血压计算模型中与所述第二状态对应的标定参数。
本发明实施例中，所述血压计算策略确定单元703还用于确定未标定血压计算模型以及所述被测目标的身体参数，所述被测目标的身体参数包括年龄、性别、身高、体重中的至少一种。
本发明实施例中，所述未标定血压计算模型为：
SBP＝A1ln PTT+A2Age+A3Hei+A4Wei+A5Gen+A6ln Z+A7    (1)
DBP＝B1ln PTT+B2Age+B3Hei+B4Wei+B5Gen+B6ln Z+B7    (2)
其中，SBP为收缩压，DBP为舒张压，A1，A2，A3，A4，A5，A6，A7为收缩压计算系数，B1，B2，B3，B4，B5，B6，B7为舒张压计算系数，PTT为脉搏波传输时间，Age为被测目标的年龄，Hei为被测目标的身高，Wei为被测目标的体重，Gen为被测目标的性别，Z为脉搏波特征参数。
本发明实施例中，所述被测目标的活动状态包括运动状态、或静止状态，所述被测目标的活动状态由所述状态获取单元702根据所述被测目标的加速度信号和/或角速度信号来确定；
所述脉搏波的测量位置包括左侧肢体、或右侧肢体，所述脉搏波的测量位置由所述状态获取单元702根据所述心电信号的参考点的特征来确定，或者，根据所述被测目标的加速度和/或角速度来确定，或者，根据所述被测目标的脉搏波信号的幅值来确定；
所述被测目标的姿态包括坐姿、站姿、蹲姿或卧姿中的至少一种，所述被测目标的姿态由所述状态获取单元702根据所述被测目标的加速度信号和/或角速度信号、和/或所述被测目标的脉搏波信号的特征来确定。
本发明实施例的血压计，能提高血压测量的精度。
图8为本发明实施例的一种终端的示意图。如图8所示，本发明实施例中的终端800包括与一个或多个存储设备耦合的处理器801、存储设备802、通信接口803、总线804。
处理器801是终端800的控制中心并提供排序和处理设施以执行指令、执行中断操作、提供定时功能和许多其它功能。可选地，处理器801包括一个或多个中央处理器(CPU)，可选地，终端设备800包括一个以上的处理器。处理器801可以是单核(单CPU)处理器或多核(多CPU)处理器。本文所使用的术语“处理器”指一个或多个用于处理计算机程序指令等数据的设备、电路和/或处理内核。
存储设备802可包括存储介质和存储器单元。存储介质可以是只读的，如只读存储器(ROM)，或是可读/可写的，如硬盘或闪存。存储器单元可以是随机存取存储器(RAM)。存储器单元可以物理上与处理器801集成或集成在处理器801内或在一个或多个独立单元中构造。
处理器801可以执行存储在存储设备802中的程序代码。可选地，在存储设备802的存储介质中存储的程序代码可以被复制到存储器单元中以便处理器执行。处理器可 执行至少一个内核，例如，以LINUZTM、UNIXTM、WINDOWSTM、ANDROIDTM、IOSTM等商标出售的操作系统中的内核，众所周知该内核用来通过控制其它程序或过程的执行、控制与外围设备的通信以及控制计算设备资源的使用来控制终端设备800的操作。
终端设备800还包括通信接口803，用于直接或通过外部网络与另一设备或系统进行通信。
终端设备800的上述元件可通过数据总线、地址总线、控制总线、扩展总线和本地总线等总线804中的任一或任意组合互相耦合。
可选地，终端设备800还包括输出设备和输入设备(图8中未示出)。输出设备与处理器801耦合，并且能够以一种或多种方式显示信息。输出设备的一个示例是视觉显示设备，例如，液晶显示屏(LCD)、发光二极管(LED)显示器、阴极射线管(CRT)或投影仪。输入设备也与处理器801耦合，并能够以一种或多种方式接收终端设备800的用户的输入。输入设备的示例包括鼠标、键盘、触摸屏设备、传感设备等等。
所述处理器801读取所述存储设备802中存储的程序代码和数据，执行以下操作：
获取被测目标的第一生物特征信息，所述第一生物特征信息包括被测目标的脉搏波信号和/或心电信号；
根据所述第一生物特征信息，获取所述被测目标的第一状态，所述第一状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种；
根据所述第一状态，确定所述被测目标的血压计算策略；
根据所述血压计算策略和所述第一生物特征信息，确定所述被测目标的血压值。
进一步的，本发明实施例中，所述被测目标的第一生物特征信息还包括：
所述被测目标的加速度信号和/或角速度信号。
本发明实施例中，所述处理器801还用于若所述第一状态时所述终端已标定，则确定所述被测目标的血压计算策略为已标定血压计算策略；或，
所述处理器801还用于若所述第一状态时所述终端未标定，则确定所述被测目标的血压计算策略为未标定血压计算策略。
本发明实施例中，所述处理器801还用于确定已标定血压计算模型以及所述已标定血压计算模型中与所述第一状态对应的标定参数。
本发明实施例中，所述处理器801还用于根据所述第一状态确定第一已标定血压计算模型。
本发明实施例中，所述已标定血压计算模型为：
Figure PCTCN2015090808-appb-000011
Figure PCTCN2015090808-appb-000012
其中，SBP为收缩压，DBP为舒张压，PTT为脉搏波传输时间，A为血压计算系数，SBP0、DBP0、PTT0为所述已标定血压计算模型中的标定参数。
本发明实施例中，所述处理器801还用于在所述终端获取被测目标的第一生物特征信息之前，标定所述终端；所述处理器标定所述终端，具体用于：
获取所述被测目标的第二生物特征信息，所述第二生物特征信息包括被测目标的脉搏波信号和/或心电信号；
根据所述第二生物特征信息，获取所述被测目标的第二状态，所述第二状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种；
获取所述被测目标在所述第二状态时的标准血压值；
根据所述标准血压值和所述第二生物特征信息，确定已标定血压计算模型中与所述第二状态对应的标定参数。
本发明实施例中，所述处理器801还用于确定未标定血压计算模型以及所述被测目标的身体参数，所述被测目标的身体参数包括年龄、性别、身高、体重中的至少一种。
本发明实施例中，所述未标定血压计算模型为：
SBP＝A1ln PTT+A2Age+A3Hei+A4Wei+A5Gen+A6ln Z+A7    (1)
DBP＝B1ln PTT+B2Age+B3Hei+B4Wei+B5Gen+B6ln Z+B7    (2)
其中，SBP为收缩压，DBP为舒张压，A1，A2，A3，A4，A5，A6，A7为收缩压计算系数，B1，B2，B3，B4，B5，B6，B7为舒张压计算系数，PTT为脉搏波传输时间，Age为被测目标的年龄，Hei为被测目标的身高，Wei为被测目标的体重，Gen为被测目标的性别，Z为脉搏波特征参数。
本发明实施例中，所述被测目标的活动状态包括运动状态、或静止状态，所述处理器801还用于根据所述被测目标的加速度信号和/或角速度信号来确定被测目标的活动状态；
所述脉搏波的测量位置包括左侧肢体、或右侧肢体，所述处理器801还用于根据所述心电信号的参考点的特征来确定，或者，根据所述被测目标的加速度和/或角速度来确定，或者，根据所述被测目标的脉搏波信号的幅值来确定所述脉搏波的测量位置；
所述被测目标的姿态包括坐姿、站姿、蹲姿或卧姿中的至少一种，所述处理器801还用于根据所述被测目标的加速度信号和/或角速度信号、和/或所述被测目标的脉搏波信号的特征来确定所述被测目标的姿态。
当本发明实施例的终端800为可穿戴设备时，可穿戴设备中包括心电信号采集装置以及脉搏波信号采集装置，处理器801控制心电信号采集装置以及脉搏波信号采集装置，获取心电信号以及脉搏波信号。
可选择的，当本发明实施例的终端设备800为通用计算设备或应用特定计算设备，如台式计算机、笔记本电脑、网络服务器、个人数字助理(PDA)、移动电话、平板电脑、无线终端设备、电信设备、嵌入系统或具有如图8所示类似结构的任何其它设备时，则终端设备800的处理器801需要通过一个包括心电信号采集装置以及脉搏波信号采集装置的可穿戴设备，即处理器801控制可穿戴设备中的心电信号采集装置和脉搏波信号采集装置。
本发明实施例的终端，可以提高血压测量的精确度，此外，该终端体积小，操作简便。
本发明实施例提供了一种血压测量方法、血压计以及终端，所述血压计根据所述被测目标的第一生物特征信息，获取被测目标的第一状态，根据所述被测目标的第一状态，确定所述被测目标的血压计算策略，根据所述血压计算策略和所述被测目标的第一生物特征信息，确定所述被测目标的血压值。本发明实施例的血压测量方法和血压计，在测量血压时考虑了被测目标的生物特征以及状态对血压的影响，选择合适的血压计算策略来确定被测目标的血压值，提高了血压测量的精确度高。
对于系统实施例而言，由于其基本对应于方法实施例，所以相关之处参见方法实施例的部分说明即可。以上所描述的系统实施例仅仅是示意性的，其中所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。本领域普通技术人员在不付出创造性劳动的情况下，即可以理解并实施。
本发明可以在由计算机执行的计算机可执行指令的一般上下文中描述，例如程序模块。一般地，程序模块包括执行特定任务或实现特定抽象数据类型的例程、程序、对象、组件、 数据结构等等。也可以在分布式计算环境中实践本发明，在这些分布式计算环境中，由通过通信网络而被连接的远程处理设备来执行任务。在分布式计算环境中，程序模块可以位于包括存储设备在内的本地和远程计算机存储介质中。
本领域普通技术人员可以理解实现上述方法实施方式中的全部或部分步骤是可以通过程序来指令相关的硬件来完成，所述的程序可以存储于计算机可读取存储介质中，这里所称得的存储介质，如：ROM、RAM、磁碟、光盘等。
还需要说明的是，在本文中，诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。
以上所述仅为本发明的较佳实施例而已，并非用于限定本发明的保护范围。本文中应用了具体个例对本发明的原理及实施方式进行了闸述，以上实施例的说明只是用于帮助理解本发明的方法及其核心思想；同时，对于本领域的一般技术人员，依据本发明的思想，在具体实施方式及应用范围上均会有改变之处。综上所述，本说明书内容不应理解为对本发明的限制。凡在本发明的精神和原则之内所作的任何修改、等同替换、改进等，均包含在本发明的保护范围内。

Claims (30)

  1. 一种血压测量方法，其特征在于，所述方法包括：
    终端获取被测目标的第一生物特征信息，所述第一生物特征信息包括被测目标的脉搏波信号和/或心电信号；
    所述终端根据所述第一生物特征信息，获取所述被测目标的第一状态，所述第一状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种；
    所述终端根据所述第一状态，确定所述被测目标的血压计算策略；
    所述终端根据所述血压计算策略和所述第一生物特征信息，确定所述被测目标的血压值。
  2. 如权利要求1所述的方法，其特征在于，所述被测目标的第一生物特征信息还包括：
    所述被测目标的加速度信号和/或角速度信号。
  3. 如权利要求1或2所述的方法，其特征在于，所述终端根据所述第一状态，确定所述被测目标的血压计算策略，具体包括：
    若所述第一状态时所述终端已标定，则确定所述被测目标的血压计算策略为已标定血压计算策略；或，
    若所述第一状态时所述终端未标定，则确定所述被测目标的血压计算策略为未标定血压计算策略。
  4. 如权利要求3所述的方法，其特征在于，所述确定所述被测目标的血压计算策略为已标定血压计算策略，具体包括：
    确定已标定血压计算模型以及所述已标定血压计算模型中与所述第一状态对应的标定参数。
  5. 如权利要求4所述的方法，其特征在于，所述确定已标定血压计算模型，具体为：
    根据所述第一状态确定第一已标定血压计算模型。
  6. 如权利要求4或5所述的方法，其特征在于，所述已标定血压计算模型为：
    Figure PCTCN2015090808-appb-100001
    Figure PCTCN2015090808-appb-100002
    其中，SBP为收缩压，DBP为舒张压，PTT为脉搏波传输时间，A为血压计算系数，SBP0、DBP0、PTT0为所述已标定血压计算模型中的标定参数。
  7. 如权利要求1-6任一项所述的方法，其特征在于，在所述终端获取被测目标的第一生物特征信息之前，所述方法还包括：标定所述终端；
    所述标定所述终端包括：
    所述终端获取所述被测目标的第二生物特征信息，所述第二生物特征信息包括被测目标的脉搏波信号和/或心电信号；
    所述终端根据所述第二生物特征信息，获取所述被测目标的第二状态，所述第二状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种；
    所述终端获取所述被测目标在所述第二状态时的标准血压值；
    所述终端根据所述标准血压值和所述第二生物特征信息，确定已标定血压计算模型中与所述第二状态对应的标定参数。
  8. 如权利要求3所述的方法，其特征在于，所述确定所述被测目标的血压计算策略为未标定血压计算策略，具体包括：
    确定未标定血压计算模型以及所述被测目标的身体参数，所述被测目标的身体参数包括年龄、性别、身高、体重中的至少一种。
  9. 如权利要求8所述的方法，其特征在于，所述未标定血压计算模型为：
    SBP＝A1lnPTT+A2Age+A3Hei+A4Wei+A5Gen+A6lnZ+A7
    DBP＝B1lnPTT+B2Age+B3Hei+B4Wei+B5Gen+B6lnZ+B7
    其中，SBP为收缩压，DBP为舒张压，A1，A2，A3，A4，A5，A6，A7为收缩压计算系数，B1，B2，B3，B4，B5，B6，B7为舒张压计算系数，PTT为脉搏波传输时间，Age为被测目标的年龄，Hei为被测目标的身高，Wei为被测目标的体重，Gen为被测目标的性别，Z为脉搏波特征参数。
  10. 如权利要求1-9任一项所述的方法，其特征在于，所述被测目标的活动状态包括运动状态、或静止状态，所述被测目标的活动状态根据所述被测目标的加速度信号和/或角速度信号来确定；
    所述脉搏波的测量位置包括左侧肢体、或右侧肢体，所述脉搏波的测量位置根据所述心电信号的参考点的特征来确定，或者，根据所述被测目标的加速度和/或角速度来确定，或者，根据所述被测目标的脉搏波信号的幅值来确定；
    所述被测目标的姿态包括坐姿、站姿、蹲姿或卧姿中的至少一种，所述被测目标的姿态根据所述被测目标的加速度信号和/或角速度信号、和/或所述被测目标的脉搏波信号的特征来确定。
  11. 一种血压测量装置，其特征在于，所述血压测量装置包括：
    特征信息获取单元，用于获取被测目标的第一生物特征信息，所述第一生物特征信息包括被测目标的脉搏波信号和/或心电信号；
    状态获取单元，用于根据所述第一生物特征信息，获取所述被测目标的第一状态，所述第一状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种；
    血压计算策略确定单元，用于根据所述第一状态，确定所述被测目标的血压计算策略；
    血压值确定单元，用于根据所述血压计算策略和所述第一生物特征信息，确定所述被测目标的血压值。
  12. 如权利要求11所述的血压测量装置，其特征在于，所述被测目标的第一生物特征信息还包括：
    所述被测目标的加速度信号和/或角速度信号。
  13. 如权利要求11或12所述的血压测量装置，其特征在于，所述血压计算策略确定单元还用于，若所述第一状态时所述血压测量装置已标定，则确定所述被测目标的血压计算策略为已标定血压计算策略；或，
    所述血压计算策略确定单元还用于，若所述第一状态时所述血压测量装置未标定，则确定所述被测目标的血压计算策略为未标定血压计算策略。
  14. 如权利要求13所述的血压测量装置，其特征在于，所述血压计算策略确定单元还用于确定已标定血压计算模型以及所述已标定血压计算模型中与所述第一状态对应的标定参数。
  15. 如权利要求14所述的血压测量装置，其特征在于，所述血压计算策略确定单元还用于根据所述第一状态确定第一已标定血压计算模型。
  16. 如权利要求14或15所述的血压测量装置，其特征在于，所述已标定血压计算模型为：
    Figure PCTCN2015090808-appb-100003
    Figure PCTCN2015090808-appb-100004
    其中，SBP为收缩压，DBP为舒张压，PTT为脉搏波传输时间，A为血压计算系数，SBP0、DBP0、PTT0为所述已标定计算模型中的标定参数。
  17. 如权利要求11-16任一项所述的血压测量装置，其特征在于，所述血压测量装置还包括标定单元，用于在所述血压测量装置获取被测目标的第一生物特征信息之前，标定所述血压测量装置；
    所述标定单元还用于获取所述被测目标的第二生物特征信息，所述第二生物特征信息包括被测目标的脉搏波信号和/或心电信号；
    所述标定单元还用于根据所述第二生物特征信息，获取所述被测目标的第二状态，所述第二状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种；
    所述标定单元还用于获取所述被测目标在所述第二状态时的标准血压值；
    所述标定单元还用于根据所述标准血压值和所述第二生物特征信息，确定已标定血压计算模型中与所述第二状态对应的标定参数。
  18. 如权利要求13所述的血压测量装置，其特征在于，所述血压计算策略确定单元还用于确定未标定血压计算模型以及所述被测目标的身体参数，所述被测目标的身体参数包括年龄、性别、身高、体重中的至少一种。
  19. 如权利要求18所述的血压测量装置，其特征在于，所述未标定血压计算模型为：
    SBP＝A1lnPTT+A2Age+A3Hei+A4Wei+A5Gen+A6lnZ+A7
    DBP＝B1lnPTT+B2Age+B3Hei+B4Wei+B5Gen+B6lnZ+B7
    其中，SBP为收缩压，DBP为舒张压，A1，A2，A3，A4，A5，A6，A7为收缩压计算系数，B1，B2，B3，B4，B5，B6，B7为舒张压计算系数，PTT为脉搏波传输时间，Age为被测目标的年龄，Hei为被测目标的身高，Wei为被测目标的体重，Gen为被测目标的性别，Z为脉搏波特征参数。
  20. 如权利要求11-19任一项所述的血压测量装置，其特征在于，所述被测目标的活动状态包括运动状态、或静止状态，所述被测目标的活动状态由所述状态获取单元根据所述被测目标的加速度信号和/或角速度信号来确定；
    所述脉搏波的测量位置包括左侧肢体、或右侧肢体，所述脉搏波的测量位置由所述状态获取单元根据所述心电信号的参考点的特征来确定，或者，根据所述被测目标的加速度和/或角速度来确定，或者，根据所述被测目标的脉搏波信号的幅值来确定；
    所述被测目标的姿态包括坐姿、站姿、蹲姿或卧姿中的至少一种，所述被测目标的姿态由所述状态获取单元根据所述被测目标的加速度信号和/或角速度信号、和/或所述被测目标的脉搏波信号的特征来确定。
  21. 一种终端，其特征在于，所述终端包括处理器、存储设备以及通信接口；
    所述存储设备，用于存储计算机可执行程序代码；
    所述处理器、所述存储设备和所述通信接口通过总线相互通信；
    所述处理器通过读取所述存储设备中存储的程序代码和数据，执行以下操作：
    获取被测目标的第一生物特征信息，所述第一生物特征信息包括被测目标的脉搏波信号和/或心电信号；
    根据所述第一生物特征信息，获取所述被测目标的第一状态，所述第一状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种；
    根据所述第一状态，确定所述被测目标的血压计算策略；
    根据所述血压计算策略和所述第一生物特征信息，确定所述被测目标的血压值。
  22. 如权利要求21所述终端，其特征在于，所述被测目标的第一生物特征信息还包括：
    所述被测目标的加速度信号和/或角速度信号。
  23. 如权利要求21或22所述终端，其特征在于，所述处理器还用于若所述第一状态时所述终端已标定，则确定所述被测目标的血压计算策略为已标定血压计算策略；或，
    所述处理器还用于若所述第一状态时所述终端未标定，则确定所述被测目标的血压计算策略为未标定血压计算策略。
  24. 如权利要求23所述终端，其特征在于，所述处理器还用于确定已标定血压计算模型以及所述已标定血压计算模型中与所述第一状态对应的标定参数。
  25. 如权利要求24所述终端，其特征在于，所述处理器还用于根据所述第一状态确定第一已标定血压计算模型。
  26. 如权利要求24或25所述终端，其特征在于，所述已标定血压计算模型为：
    Figure PCTCN2015090808-appb-100005
    Figure PCTCN2015090808-appb-100006
    其中，SBP为收缩压，DBP为舒张压，PTT为脉搏波传输时间，A为血压计算系数，SBP0、DBP0、PTT0为所述已标定血压计算模型中的标定参数。
  27. 如权利要求21至26任一项所述终端，其特征在于，所述处理器还用于在所述终端获取被测目标的第一生物特征信息之前，标定所述终端；
    所述处理器标定所述终端，具体用于：
    获取所述被测目标的第二生物特征信息，所述第二生物特征信息包括被测目标的脉搏波信号和/或心电信号；
    根据所述第二生物特征信息，获取所述被测目标的第二状态，所述第二状态包括被测目标的活动状态、被测目标的姿态以及被测目标的脉搏波的测量位置中的至少一种；
    获取所述被测目标在所述第二状态时的标准血压值；
    根据所述标准血压值和所述第二生物特征信息，确定已标定血压计算模型中与所述第二状态对应的标定参数。
  28. 如权利要求23所述终端，其特征在于，所述处理器还用于确定未标定血压计算模型以及所述被测目标的身体参数，所述被测目标的身体参数包括年龄、性别、身高、体重中的至少一种。
  29. 如权利要求28所述终端，其特征在于，所述未标定血压计算模型为：
    SBP＝A1lnPTT+A2Age+A3Hei+A4Wei+A5Gen+A6lnZ+A7
    DBP＝B1lnPTT+B2Age+B3Hei+B4Wei+B5Gen+B6lnZ+B7
    其中，SBP为收缩压，DBP为舒张压，A1，A2，A3，A4，A5，A6，A7为收缩压计算系数，B1，B2，B3，B4，B5，B6，B7为舒张压计算系数，PTT为脉搏波传输时间，Age为被测目标的 年龄，Hei为被测目标的身高，Wei为被测目标的体重，Gen为被测目标的性别，Z为脉搏波特征参数。
  30. 如权利要求21-29任一项所述终端，其特征在于，所述被测目标的活动状态包括运动状态、或静止状态，所述处理器还用于根据所述被测目标的加速度信号和/或角速度信号来确定被测目标的活动状态；
    所述脉搏波的测量位置包括左侧肢体、或右侧肢体，所述处理器还用于根据所述心电信号的参考点的特征来确定，或者，根据所述被测目标的加速度和/或角速度来确定，或者，根据所述被测目标的脉搏波信号的幅值来确定所述脉搏波的测量位置；
    所述被测目标的姿态包括坐姿、站姿、蹲姿或卧姿中的至少一种，所述处理器还用于根据所述被测目标的加速度信号和/或角速度信号、和/或所述被测目标的脉搏波信号的特征来确定所述被测目标的姿态。
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