WO2024245138A1 - 血氧仪调节方法和装置 - Google Patents

血氧仪调节方法和装置 Download PDF

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Publication number
WO2024245138A1
WO2024245138A1 PCT/CN2024/095189 CN2024095189W WO2024245138A1 WO 2024245138 A1 WO2024245138 A1 WO 2024245138A1 CN 2024095189 W CN2024095189 W CN 2024095189W WO 2024245138 A1 WO2024245138 A1 WO 2024245138A1
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WIPO (PCT)
Prior art keywords
light intensity
intensity data
oximeter
data group
preset threshold
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Ceased
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PCT/CN2024/095189
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English (en)
French (fr)
Inventor
钱晓仑
马传龙
郑利金
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Beijing Choice Electronic Technology Co Ltd
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Beijing Choice Electronic Technology Co Ltd
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Priority to EP24814336.4A priority Critical patent/EP4696234A4/en
Publication of WO2024245138A1 publication Critical patent/WO2024245138A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J1/00—Photometry, e.g. photographic exposure meter
    • G01J1/42—Photometry, e.g. photographic exposure meter using electric radiation detectors
    • G01J1/44—Electric circuits
    • 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
    • A61B5/02416—Measuring pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
    • A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
    • A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
    • A61B5/14552—Details of sensors specially adapted therefor
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813—Specially adapted to be attached to a specific body part
    • A61B5/6825—Hand
    • A61B5/6826—Finger
    • 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
    • A61B5/7221—Determining signal validity, reliability or quality
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Program-control systems
    • G05B19/02—Program-control systems electric
    • G05B19/04—Program control other than numerical control, i.e. in sequence controllers or logic controllers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J1/00—Photometry, e.g. photographic exposure meter
    • G01J1/42—Photometry, e.g. photographic exposure meter using electric radiation detectors
    • G01J1/44—Electric circuits
    • G01J2001/4446—Type of detector
    • G01J2001/446—Photodiode
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Program-control systems
    • G05B19/02—Program-control systems electric
    • G05B19/04—Program control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Program control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0426—Programming the control sequence

Definitions

  • the present application relates to a blood oximeter adjustment method and device, and in particular, to a blood oximeter adjustment method and device.
  • oximeter As a portable medical device, users can use the oximeter to monitor their health status, including heart rate and blood oxygen, anytime and anywhere. There are two measurement methods of the oximeter: reflection and transmission.
  • the measurement principle of the transmission oximeter is as follows: there is a light-emitting LED on one side of the finger, and a photodiode on the other side (used to detect light intensity and convert light into current. The stronger the light, the greater the current).
  • Human fingers including skin, bones, and blood
  • the blood absorbs more light than other tissues.
  • the blood presents a pulsating form, that is, a pulse. This will cause the absorbed light to be different, and the feedback to the photodiode will present a changing photocurrent.
  • the sampling frequency is high enough, a complete and continuous pulse waveform will be presented.
  • the heart rate is calculated by counting the number of continuous pulse waveforms and calculating the number of waveforms per minute, that is, the number of heartbeats.
  • the oxygen inhaled through breathing will combine with hemoglobin in the blood to form oxygenated hemoglobin.
  • Hemoglobin has a higher absorption coefficient for red light
  • oxygenated hemoglobin has a higher absorption coefficient for infrared light
  • the blood oxygen result can be calculated by detecting oxygenated hemoglobin and hemoglobin using red light and infrared light respectively.
  • the current mainstream blood oximeters have problems during use due to the thickness of human fingers, skin color, and environmental factors, resulting in a narrow application range and inaccurate test results.
  • the embodiments described herein provide a blood oximeter adjustment method and device to solve the problems existing in the prior art.
  • a method for adjusting a blood oximeter comprising:
  • the light emission intensity of the light emitting component of the oximeter is adjusted according to the parameter information.
  • the state information includes the number of light intensity data included in the light intensity data group and/or the time of collecting the light intensity data group, and the type of parameter information includes perfusion index and/or average light intensity.
  • the step of acquiring light intensity data corresponding to the target finger to form a light intensity data group includes:
  • Determining parameter information corresponding to the light intensity data group according to the state information corresponding to the light intensity data group includes:
  • a pre-associated adjustment parameter type is configured according to a target preset threshold value, and parameter information corresponding to the adjustment parameter type is calculated according to the acquired light intensity data group.
  • the target preset threshold includes at least a first target preset threshold and a second target preset threshold
  • the step of sequentially forming a light intensity data group with state information as a target preset threshold value comprises:
  • the configuring of a pre-associated adjustment parameter type according to a preset target threshold value, and calculating parameter information corresponding to the adjustment parameter type according to the acquired light intensity data group includes:
  • the adjustment parameter type is determined to be average light intensity according to the second light intensity data group, and the corresponding first average light intensity is calculated according to the second light intensity data group.
  • calculating the corresponding first perfusion index according to the first light intensity data set includes:
  • the first perfusion index is determined by dividing the average value by the difference between the maximum light intensity value and the minimum light intensity value.
  • calculating parameter information corresponding to the light intensity data group according to state information corresponding to the light intensity data group includes:
  • the pre-associated adjustment parameter type is configured according to the target preset threshold, and the parameter information corresponding to the adjustment parameter type is calculated according to the latest acquired sub-light intensity data group, wherein the light intensity data group includes N sub-light intensity data groups, the status information of each sub-light intensity data group is the target preset threshold, and N is an integer greater than or equal to 1.
  • the target preset threshold includes at least a first target preset threshold and a second target preset threshold
  • a pre-associated adjustment parameter type is configured according to the target preset threshold, and parameter information corresponding to the adjustment parameter type is calculated according to the latest acquired sub-light intensity data group, including:
  • the adjustment parameter type is determined to be average light intensity according to the second target preset threshold, and the corresponding second average light intensity is calculated according to the latest acquired sub-light intensity data group.
  • the state parameter is the time for collecting the light intensity data set
  • the first target preset threshold is the time for one cycle of the pulse wave
  • the second target preset threshold is less than the time for one cycle of the pulse wave
  • the state parameter is the number of light intensity data groups collected, and the second target preset threshold is less than the first target preset threshold.
  • adjusting the light emission intensity of the light emitting component of the oximeter according to the parameter information includes:
  • the current gear of the oximeter is adjusted according to the relationship between the parameter information and the preset parameter information.
  • the current gear of the oximeter includes multiple gears, among which the current value of the first gear is: when there is no finger in the oximeter, the current value required for the maximum light intensity that the photodiode in the oximeter can receive, and this current is the minimum current; the current value of the highest gear is: according to a preset dark finger placed in the oximeter, the current value required for the maximum light intensity that the photodiode can receive, and this current value is the maximum current; the current values of other gears are obtained by dividing the maximum current and the minimum current equally.
  • adjusting the current level of the oximeter includes increasing the current level of the oximeter and decreasing the current level of the oximeter, and the value of the current level increased or decreased each time is one level.
  • adjusting the light emission intensity of the light emitting component of the oximeter according to the parameter information includes:
  • the current gear of the oximeter is adjusted according to the relationship between the average light intensity and the preset average light intensity.
  • the preset perfusion index includes a first preset perfusion index and a second preset perfusion index
  • the adjusting the current gear of the oximeter according to the relationship between the perfusion index and the preset perfusion index includes:
  • the current level of the oximeter is reduced.
  • the preset average light intensity includes a first preset average light intensity and a second preset average light intensity; and adjusting the current gear of the oximeter according to the relationship between the average light intensity and the preset average light intensity includes:
  • the current level of the oximeter is reduced.
  • the method further includes:
  • a blood oximeter adjustment device comprising:
  • the main control module is used to obtain the light intensity data received by the light receiving module to form a light intensity data group, and calculate the parameter information corresponding to the light intensity data group according to the state information corresponding to the light intensity data group, and adjust the luminous intensity of the light emitting component according to the parameter information.
  • an electronic device comprising a memory and a processor, the memory storing a computer program, and the processor implementing the above method when executing the computer program.
  • a computer-readable storage medium wherein the storage medium stores a computer program, and when the computer program is executed, the method as described above is implemented.
  • the oximeter adjustment method and device obtains light intensity data corresponding to the target finger to form a light intensity data group, wherein the light intensity data is the light intensity data detected by the light receiving component of the oximeter through the target finger.
  • Light intensity data of the finger according to the state information corresponding to the light intensity data group, calculate the parameter information corresponding to the light intensity data group; according to the parameter information, adjust the luminous intensity of the light emitting component of the oximeter, wherein the parameter information corresponding to the calculated light intensity data group includes the average light intensity and the perfusion index, and the current gear of the oximeter is adjusted according to the average light intensity, which can eliminate the influence of bright fingers, dark fingers and ambient light on the accuracy of the oximeter measurement results, and adjust the current gear of the oximeter according to the perfusion index, that is, according to the perfusion index, adjust the current gear of the oximeter to eliminate the influence of the human body's own environment on the accuracy of the oximeter measurement results, that is, it can eliminate the influence
  • FIG1 is a schematic flow chart of a blood oximeter adjustment method provided in an embodiment of the present disclosure
  • FIG2 is a flow chart of another blood oximeter adjustment method provided in an embodiment of the present disclosure.
  • FIG3 is a schematic diagram of the structure of a blood oximeter adjustment device provided in an embodiment of the present disclosure
  • FIG. 4 is a schematic diagram of the structure of a computer device provided in an embodiment of the present disclosure.
  • a and/or B can mean: A exists, A and B exist at the same time, and B exists.
  • the character "/" in this article generally indicates that the associated objects before and after are in an "or" relationship.
  • first and second are used only to distinguish one component (or a part of a component) from another component (or another part of a component).
  • plural means more than two (including two), and similarly, “multiple groups” means more than two groups (including two).
  • FIG1 is a flow chart of a blood oximeter adjustment method provided by an embodiment of the present disclosure. As shown in FIG1 , the specific process of the blood oximeter adjustment method includes:
  • the light intensity data group includes a plurality of light intensity data
  • the light intensity data is light intensity data detected by a light receiving component of the oximeter and passing through the target finger.
  • the photodiode of the oximeter detects the light intensity data passing through the target finger.
  • One possible way to obtain the light intensity data corresponding to the target finger and form a light intensity data group includes: obtaining the light intensity data corresponding to the target finger and sequentially forming a light intensity data group whose state information is a target preset threshold.
  • the target preset threshold is set to include at least a first target preset threshold and a second target preset threshold, and by continuously acquiring light intensity data corresponding to the target finger, a first light intensity data group of the first target preset threshold and a second light intensity data group of the second target preset threshold are sequentially formed.
  • the first target preset threshold is 100
  • the second target preset threshold is 30.
  • a first light intensity data group whose state information is the first target preset threshold is formed in sequence
  • a light intensity data group whose state information is the second target preset threshold is formed in sequence. For example, if the collected light intensity data corresponding to the target finger is 150, then the light intensity data 1-100 form a first light intensity data group. Since the number of data of the remaining light intensity data 101-150 does not meet the first preset threshold, the remaining light intensity data 101-150 do not form a first light intensity data group.
  • the light intensity data 1-30 can also form a second light intensity data group, 31-60 form a second light intensity data group, 61-90 form a second light intensity data group, 91-120 form a second light intensity data group, and 121-150 form a second light intensity data group.
  • the state information includes the number of light intensity data included in the light intensity data group and/or the time of collecting the light intensity data group, and the parameter information includes the perfusion index and/or the average light intensity.
  • PI value reflects the pulsating blood flow, that is, reflects the blood perfusion capacity. The greater the pulsating blood flow, the more pulsating components, and the greater the PI value. Therefore, the measurement site (skin, nails, bones, etc.) and the patient's own blood perfusion (arterial blood flow) will affect the PI value. Since the sympathetic nerves affect the heart rate and arterial blood pressure (affecting the pulse), the PI value will be affected by the sympathetic nerves. Therefore, the human body's nervous regulation system or mental state will also indirectly affect the PI value.
  • the average light intensity is the average value of the light intensity passing through the target finger detected by the photodiode of the oximeter.
  • the average light intensity indirectly reflects the blood flow status of the human body.
  • parameter information corresponding to the light intensity data group is determined according to state information corresponding to the light intensity data group, including: configuring a pre-associated adjustment parameter type according to a target preset threshold, and calculating parameter information corresponding to the adjustment parameter type based on the acquired light intensity data group.
  • the adjustment parameter type is determined to be the perfusion index according to the first target preset threshold, and the corresponding first perfusion index is calculated according to the first light intensity data group; the adjustment parameter type is determined to be the average light intensity according to the second target preset threshold, and the corresponding first average light intensity is calculated according to the second light intensity data group.
  • the corresponding first perfusion index is calculated based on the first light intensity data group
  • the corresponding first average light intensity is calculated based on the second light intensity data group.
  • the first perfusion index is calculated as follows: first, the average value DC corresponding to the 100 light intensity data included in the first light intensity data group is calculated, and then the difference AC corresponding to the maximum light intensity value and the minimum light intensity value corresponding to the 100 light intensity data included in the first light intensity data group is calculated, and the first perfusion index is determined by multiplying the average value DC with the difference AC between the maximum light intensity value and the minimum light intensity value.
  • the first average light intensity is calculated as follows: the average value DC corresponding to the 30 light intensity data included in the second light intensity data group is calculated.
  • the number of acquired light intensity data does not meet the first target preset threshold value, but meets the second target preset threshold value, at this time, by acquiring the first average light intensity corresponding to 30 light intensity data in the light intensity data group, it is possible to adjust the current gear according to the user's finger situation and then adjust the light intensity of the light-transmitting fingers, such as bright fingers (thin fingers are easy to transmit light) and dark fingers (fat fingers are not easy to transmit light), thereby reducing the time for adjusting to the appropriate light intensity and improving the accuracy of the oximeter measurement results.
  • the light-transmitting fingers such as bright fingers (thin fingers are easy to transmit light) and dark fingers (fat fingers are not easy to transmit light
  • the first perfusion index corresponding to the light intensity data is calculated, and then the current gear of the oximeter is adjusted according to the first perfusion index, that is, according to the perfusion index, the current gear of the oximeter is adjusted to eliminate the influence of the human body's own environment on the accuracy of the oximeter measurement results, thereby improving the accuracy of the oximeter.
  • parameter information corresponding to the light intensity data group is determined based on status information corresponding to the light intensity data group, including: when the acquired status information of the light intensity data group meets N times the target preset threshold, a pre-associated adjustment parameter type is configured according to the target preset threshold, and parameter information corresponding to the adjustment parameter type is calculated based on the most recently acquired sub-light intensity data group, wherein the light intensity data group includes N sub-light intensity data groups, the status information of each sub-light intensity data group is the target preset threshold, and N is an integer greater than or equal to 1.
  • the adjustment parameter type is determined to be the perfusion index according to the first target preset threshold, and the corresponding second perfusion index is calculated according to the latest acquired sub-light intensity data group;
  • the adjustment parameter type is determined to be the average light intensity according to the second target preset threshold, and the corresponding second average light intensity is calculated according to the latest acquired sub-light intensity data group.
  • the first target preset threshold is 100
  • the second target preset threshold is 30, and a light intensity data group is formed by acquiring light intensity data corresponding to the target finger.
  • a times the first target preset threshold for example, if the collected light intensity data corresponding to the target finger is 150
  • the light intensity data group composed of light intensity data 1-100 meets 1 times the first target preset threshold.
  • the sub-light intensity data group composed of the light intensity data corresponding to 1-100 has calculated the corresponding perfusion index, and as the light intensity data continues to increase, it increases to 200, that is, the status information of the light intensity data group meets 2 times the first target preset threshold.
  • the second perfusion index corresponding to the sub-light intensity data group formed by the light intensity data 101-200 is calculated. If the number of light intensity data collected corresponding to the target finger is 150, light intensity data 1-30 form a second light intensity data group, 31-60 form a second light intensity data group, 61-90 form a second light intensity data group, 91-120 form a second light intensity data group, and 121-150 form a second light intensity data group. As the light intensity data continues to increase, it increases to 180, that is, the state information of the light intensity data group meets 6 times the second target preset threshold. At this time, the second average light intensity corresponding to the sub-light intensity data group formed by light intensity data 151-180 is calculated.
  • the first target preset threshold is the time for one cycle of the pulse wave
  • the second target preset threshold is less than the time for one cycle of the pulse wave
  • the second target preset threshold is less than the first target preset threshold.
  • the parameter information corresponding to the light intensity data group can be determined by the number of light intensity data groups collected or the time of collecting light intensity data groups.
  • the current level of the oximeter is adjusted according to the relationship between the parameter information and the preset parameter information.
  • the preset parameter information includes a preset perfusion index and a preset average light intensity.
  • adjusting the current level of the oximeter according to the relationship between the parameter information and the preset parameter information includes: adjusting the current level of the oximeter according to the relationship between the perfusion index and the preset perfusion index.
  • the first preset perfusion index is 0.4
  • the second preset perfusion index is 1, wherein 0.4 is a weak perfusion index and 1 is a strong perfusion index. Under this perfusion index, the blood oxygen value measurement results are inaccurate.
  • the current gear of the oximeter is adjusted according to the perfusion index. Since the perfusion index can stably reflect the blood flow state of the human body and is less affected by the external environment, for example, when the human hands are cold, the blood flow at the fingertips decreases and the PI value is low. By calculating the PI value and adjusting the current gear of the oximeter, the inaccurate measurement results of the oximeter caused by the human body being affected by changes in the ambient temperature can be reduced.
  • adjusting the current level of the oximeter according to the relationship between the average light intensity and the preset average light intensity includes: adjusting the current level of the oximeter according to the relationship between the perfusion index and the preset perfusion index.
  • the current gear of the oximeter is increased; when the average light intensity is greater than the second preset average light intensity, the current gear of the oximeter is reduced.
  • the influence of bright fingers (thin fingers are easy to transmit light) and dark fingers (fat fingers are not easy to transmit light) on the accuracy of the oximeter measurement results can be avoided. It can reduce the influence of light intensity and filter out the influence of ambient light on the accuracy of oximeter measurement results.
  • the value of the current level increased or decreased each time is one level.
  • the current gear of the oximeter includes 5 gears.
  • the current value of the first gear is: when there is no finger in the oximeter, the current value required for the maximum light intensity that the photodiode in the oximeter can receive, and this current is the minimum current.
  • the current value of the fifth gear is, based on the big data collection of the thickness of multiple people's fingers, the thickest (dark finger) is put into the oximeter, and the current value required for the maximum light intensity that the photodiode can receive is the maximum current.
  • the current values of other gears are the equal parts of the maximum current and the minimum current.
  • the oximeter adjustment method obtains light intensity data corresponding to a target finger to form a light intensity data group, wherein the light intensity data is light intensity data detected by a light receiving component of the oximeter and transmitted through the target finger; according to state information corresponding to the light intensity data group, parameter information corresponding to the light intensity data group is calculated; and according to the parameter information, the luminous intensity of the light emitting component of the oximeter is adjusted, wherein the parameter information corresponding to the calculated light intensity data group includes an average light intensity and a perfusion index, and the current gear of the oximeter is adjusted according to the average light intensity, so as to eliminate the influence of bright fingers, dark fingers and ambient light on the accuracy of the oximeter measurement result, and the current gear of the oximeter is adjusted according to the perfusion index, that is, according to the perfusion index, the current gear of the oximeter is adjusted to eliminate the influence of the human body's own environment on the accuracy of the oximeter measurement result, that is, the influence of the thickness of
  • different adjustment parameter types are determined according to the state information of the light intensity data group; the efficiency of adjusting the light intensity is enhanced, so that the blood oximeter can output a stable value in a shorter time, and the blood oximeter outputs a value faster.
  • the method before obtaining the light intensity data corresponding to the target finger, the method further includes: adjusting the current gear of the oximeter to an initial gear, wherein the initial gear is a middle gear of the current gear of the oximeter.
  • the oximeter Before obtaining the light intensity data corresponding to the target finger, first adjust the current gear of the oximeter to the initial gear, that is, the middle gear of the current gear, to ensure the accuracy of the light intensity data obtained later, reduce unnecessary adjustment of the current gear, and improve the efficiency of the oximeter in outputting stable values.
  • the oximeter adjustment method disclosed in the present application also includes: obtaining a preset number of light intensity data groups by sliding value acquisition; calculating the average value of the light intensity data group; when the average value is greater than a first preset value and the current gear is at the lowest gear, determining that the finger has fallen off and outputting a warning message.
  • the light intensity data corresponding to the target finger at the lowest gear is obtained according to a preset sliding method; when the sliding window meets the preset sliding window, the average value of the light intensity data group corresponding to each sliding window is determined in turn; when the average value is greater than the first preset value and the current gear is the lowest gear, it is determined that the finger has fallen off and an early warning message is output.
  • the target finger status information needs to be determined in the process of obtaining the light intensity data corresponding to the next target finger, that is, when obtaining the light intensity data group corresponding to the target finger, if the target finger slips, the light intensity data corresponding to the target finger needs to be obtained again.
  • the way to determine whether the target finger slips is: obtain the light intensity data corresponding to the target finger at the lowest gear in a preset sliding manner; when the sliding window meets the preset sliding window, determine the average value of the light intensity data corresponding to each sliding window in turn; determine the state information of the target finger according to the average value of the light intensity data corresponding to each sliding window.
  • the preset sliding mode is to slide to obtain the light intensity data corresponding to windows 1-8, 2-9, 3-10, ..., and the number of sliding windows is related to the target preset threshold and the light intensity data included in the sliding window. For example, when the target preset threshold is 30, the light intensity data included in the sliding window is 8, and the number of sliding windows is 23. When the average value of the light intensity data included in a sliding window fluctuates greatly, the light intensity data collected in the sliding window will show the phenomenon of the target finger slipping.
  • the oximeter by adjusting the current of the oximeter, it is ensured that the oximeter outputs a stable waveform, thereby achieving accurate detection of human blood oxygen changes based on the waveform output by the oximeter.
  • step S11 is executed to adjust the oximeter to the initial current gear, which is the middle gear in the oximeter current gear.
  • step S12 is executed to obtain the light intensity data corresponding to the target finger at the initial current gear.
  • step S13 is to determine the state information of the target finger according to a preset sliding method. The specific process of step S13 is to first obtain the light intensity data corresponding to the target finger at the lowest gear according to the preset sliding method, and then determine the average value of the light intensity data corresponding to each sliding window in turn. Finally, according to the average value of the light intensity data corresponding to each sliding window, the state information of the target finger is determined.
  • the state information of the target finger is determined by the mean value.
  • step S14 is executed to determine whether the light intensity data corresponding to the target finger obtained meets the target preset threshold value.
  • step S15 is executed.
  • step S20 is jumped to determine whether the light intensity data corresponding to the target finger meets the second target preset threshold value (30).
  • step S15 the average value DC of the light intensity data group corresponding to the target finger is obtained.
  • step S16 the difference AC between the maximum and minimum values of the light intensity data in the light intensity data group corresponding to the target finger is obtained.
  • step S17 the perfusion index is determined according to the average value of the light intensity data group and the difference between the maximum and minimum values of the light intensity data in the light intensity data group.
  • step S18 it is determined whether the perfusion index is less than 0.4.
  • step S20 determine whether the light intensity data included in the light intensity data group corresponding to the target finger meets the second target preset threshold; when the light intensity data included in the light intensity data group meets the second target preset threshold, execute step S21, calculate the average light intensity of the light intensity data corresponding to the second target preset threshold; according to the average light intensity of the calculated light intensity data, execute step S22, determine whether the average light intensity exceeds the upper limit; when the average light intensity exceeds the upper limit, the current is decreased by one level; when the average light intensity does not exceed the upper limit, execute step S23, determine whether the average light intensity is less than the lower line; when the average light intensity is less than the lower line, the current is increased by one level; when the average light intensity is not
  • the present disclosure further provides a blood oximeter adjustment device, as shown in FIG3 , the blood oximeter adjustment device comprises:
  • the main control module 230 is used to obtain the light intensity data received by the light receiving module to form a light intensity data group, calculate the parameter information corresponding to the light intensity data group according to the state information corresponding to the light intensity data group, and adjust the luminous intensity of the light emitting component according to the parameter information.
  • the blood oxygen meter adjustment device includes: a light emitting component, a light receiving component and a main control module, wherein the main control module is connected to the light emitting component and the light receiving module; the main control module is used to obtain light
  • the light intensity data received by the receiving module is formed into a light intensity data group, and the parameter information corresponding to the light intensity data group is calculated according to the state information corresponding to the light intensity data group, and the luminous intensity of the light emitting component is adjusted according to the parameter information.
  • the parameter information corresponding to the calculated light intensity data group includes the average light intensity and the perfusion index
  • the current gear of the oximeter is adjusted according to the average light intensity, which can eliminate the influence of bright fingers, dark fingers and ambient light on the accuracy of the oximeter measurement results
  • the current gear of the oximeter is adjusted according to the perfusion index, that is, according to the perfusion index
  • the current gear of the oximeter is adjusted to eliminate the influence of the human body's own environment on the accuracy of the oximeter measurement results, that is, it can eliminate the influence of the thickness of human fingers and skin color on the accuracy of the oximeter measurement results, and can also eliminate the influence of environmental factors on the accuracy of the oximeter measurement results.
  • different adjustment parameter types are determined according to the state information of the light intensity data group; the efficiency of adjusting the light intensity is enhanced, so that the oximeter can output a stable value in a shorter time, and the oximeter outputs a value faster.
  • the present application embodiment also provides a computer device. Please refer to Figure 4 for details, which is a basic structural block diagram of the computer device of the present embodiment.
  • the computer device includes a memory 410 and a processor 420 that are connected to each other through a system bus. It should be noted that the figure only shows a computer device with components 410-420, but it should be understood that it is not required to implement all the components shown, and more or fewer components can be implemented instead. Among them, those skilled in the art can understand that the computer device here is a device that can automatically perform numerical calculations and/or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable gate arrays (Field-Programmable Gate Array, FPGA), digital processors (Digital Signal Processor, DSP), embedded devices, etc.
  • ASIC Application Specific Integrated Circuit
  • FPGA Field-Programmable Gate Array
  • DSP Digital Signal Processor
  • Computer devices can be computing devices such as desktop computers, notebooks, PDAs, and cloud servers. Computer devices can interact with users through keyboards, mice, remote controls, touch pads, or voice control devices.
  • the memory 410 includes at least one type of readable storage medium, and the readable storage medium includes a non-volatile memory or a volatile memory, for example, a flash memory, a hard disk, a multimedia card, a card-type memory (for example, an SD or DX memory, etc.), a random access memory (RAM), a read-only memory (ROM), Erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, etc.
  • RAM may include static RAM or dynamic RAM.
  • memory 410 may be an internal storage unit of a computer device, for example, a hard disk or memory of the computer device.
  • memory 410 may also be an external storage device of a computer device, such as a plug-in hard disk, a smart memory card (SMC), a secure digital (SD) card or a flash card (Flash Card) equipped on the computer device.
  • memory 410 may also include both an internal storage unit of a computer device and an external storage device thereof.
  • memory 410 is generally used to store an operating system and various application software installed on a computer device, such as the program code of the above method, etc.
  • memory 410 may also be used to temporarily store various types of data that have been output or are to be output.
  • the processor 420 is generally used to perform the overall operation of the computer device.
  • the memory 410 is used to store program codes or instructions
  • the program code includes computer operation instructions
  • the processor 420 is used to execute the program codes or instructions stored in the memory 410 or process data, such as running the program code of the above method.
  • the bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus.
  • ISA Industry Standard Architecture
  • PCI Peripheral Component Interconnect
  • EISA Extended Industry Standard Architecture
  • the bus system can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.
  • FIG. 1 Another embodiment of the present application also provides a computer-readable medium, which may be a computer-readable signal medium or a computer-readable medium.
  • a processor in a computer reads a computer-readable program code stored in the computer-readable medium, so that the processor can execute the functional actions specified in each step or a combination of steps in the above method; and generate a device for implementing the functional actions specified in each block or a combination of blocks in the block diagram.
  • Computer readable media include but are not limited to electronic, magnetic, optical, electromagnetic, infrared storage or A semiconductor system, device or apparatus, or any appropriate combination of the foregoing, wherein the memory is used to store program codes or instructions, the program codes include computer operation instructions, and the processor is used to execute the program codes or instructions of the above method stored in the memory.
  • the disclosed systems, devices and methods can be implemented in other ways.
  • the device embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.
  • Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.
  • Each functional unit or module in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
  • the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium.
  • the computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) or a processor (processor) to perform all or part of the steps of the various embodiments of the present application.
  • the aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

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Abstract

本公开的实施例提供一种血氧仪调节方法和装置，包括：获取目标手指对应的光强数据，形成光强数据组，光强数据为血氧仪的光接收部件检测到的透过目标手指的光强数据；根据光强数据组对应的状态信息，计算光强数据组对应的参数信息；根据参数信息调节血氧仪的光发射部件的发光强度，解决现有技术中因人手指粗细、皮肤颜色、环境因素的影响，导致出现血氧仪的适用范围窄，检测结果不准确等问题。

Description

血氧仪调节方法和装置
本申请要求2023年5月26日提交至中国知识产权局的，申请号为202310607892.0，名称为“血氧仪调节方法和装置”的中国发明专利申请的优先权，其全部公开内容结合于此作为参考。
技术领域
本申请涉及一种血氧仪调节方法和装置，特别的，涉及一种血氧仪调节方法和装置。
背景技术
作为一款便携式的医疗器具，用户可以使用血氧仪随时随地检测自身的健康状况，包括心率和血氧。血氧仪的测量方式有两种：反射式和透射式。
其中，透射式血氧仪的测量原理如下：手指一侧是发光LED，另一侧是光电二极管(用于检测光强，将光转换成电流，光越强，电流越大)。人的手指(包括皮肤、骨骼、血液)会吸收光，其中血液比其他组织吸收更多的光，血液在流动的过程中，由于心脏的周期性搏动作用，血液呈现脉动的形式即脉搏。这样就会导致吸收的光不一样，反馈到光电二极管上就会呈现变化的光电流。采样频率足够高时，就会呈现出完整连续的脉搏波形。心率是通过统计连续的脉搏波形的个数，计算出每分钟的波形数即心跳次数。通过呼吸吸入的氧气会和血液中的血红蛋白结合，形成氧合血红蛋白。血红蛋白对红光的吸收系数更高，氧合血红蛋白对红外光的吸收系数更高；利用红光和红外光分别检测氧合血红蛋白和血红蛋白可计算出血氧结果。
目前主流的血氧仪在使用过程中存在因人手指粗细、皮肤颜色、环境因素的影响，导致出现血氧仪的适用范围窄，检测结果不准确等问题。
发明内容
本文中描述的实施例提供了一种血氧仪调节方法和装置，解决现有技术存在的问题。
第一方面，根据本公开的内容，提供了一种血氧仪调节方法，包括：
获取目标手指对应的光强数据，形成光强数据组，所述光强数据为血氧仪的光接收部件检测到的透过所述目标手指的光强数据；
根据所述光强数据组对应的状态信息，计算所述光强数据组对应的参数信息；
根据所述参数信息调节所述血氧仪的光发射部件的发光强度。
在本公开的一些实施例中，所述状态信息包括光强数据组包括的光强数据的个数和/或采集光强数据组的时间，所述参数信息的类型包括灌注指数和/或平均光强。
在本公开的一些实施例中，所述获取目标手指对应的光强数据，形成光强数据组，包括：
采集目标手指的光强数据，依次形成状态信息为目标预设阈值的光强数据组；
所述根据所述光强数据组对应的状态信息，确定所述光强数据组对应的参数信息，包括：
根据目标预设阈值配置预先关联的调节参数类型，并根据获取到的光强数据组计算与所述调节参数类型对应的参数信息。
在本公开一些实施例中，所述目标预设阈值至少包括第一目标预设阈值和第二目标预设阈值；
所述依次形成状态信息为目标预设阈值的光强数据组，包括：
依次形成状态信息为第一目标预设阈值的第一光强数据组，以及第二目标预设阈值的第二光强数据组；
所述根据目标预设阈值配置预先关联的调节参数类型，并根据获取到的光强数据组计算与所述调节参数类型对应的参数信息，包括：
根据第一光强数据组确定调节参数类型为灌注指数，并根据第一光强数据组计算对应的第一灌注指数；
根据第二光强数据组确定调节参数类型为平均光强，并根据第二光强数据组计算对应的第一平均光强。
在本公开一些实施例中，根据第一光强数据组计算对应的第一灌注指数，包括：
计算所述第一光强数据组中平均值；
计算所述第一光强数据组包括的光强数据对应的最大光强值与最小光强值的差值；
通过将所述平均值与最大光强值与最小光强值的差值确定第一灌注指数
在本公开一些实施例中，根据所述光强数据组对应的状态信息，计算所述光强数据组对应的参数信息，包括：
当获取到的所述光强数据组的状态信息满足N倍的目标预设阈值时，根据目标预设阈值配置预先关联的调节参数类型，并根据最新获取到的子光强数据组计算与所述调节参数类型对应的参数信息，其中，所述光强数据组包括N个子光强数据组，每个子光强数据组的状态信息为目标预设阈值，N为大于等于1的整数。
在本公开一些实施例中，所述目标预设阈值至少包括第一目标预设阈值和第二目标预设阈值；
所述当获取到的所述光强数据组的状态信息满足N倍的目标预设阈值时，根据目标预设阈值配置预先关联的调节参数类型，并根据最新获取到的子光强数据组计算与所述调节参数类型对应的参数信息，包括：
当获取到的所述光强数据组的状态信息满足A倍的第一目标预设阈值时，根据第一目标预设阈值确定调节参数类型为灌注指数，并根据最新获取到的子光强数据组计算对应的第二灌注指数；
当获取到的所述光强数据组的状态信息满足B倍的第二目标预设阈值时，根据第二目标预设阈值确定调节参数类型为平均光强，并根据最新获取到的子光强数据组计算对应的第二平均光强。
在本公开一些实施例中，所述状态参数为采集光强数据组的时间，所述第一目标预设阈值为为脉搏波一个周期的时间，所述第二目标预设阈值小于脉搏波一个周期的时间；
和/或，
所述状态参数为采集光强数据组的个数，所述第二目标预设阈值小于第一目标预设阈值。
在本公开一些实施例中，所述根据所述参数信息调节所述血氧仪的光发射部件的发光强度，包括：
所述根据所述参数信息与预设参数信息的关系，调节所述血氧仪的电流档位。
在本公开一些实施例中，血氧仪的电流档位包括多个档位，其中，第一档的电流值为：当血氧仪中没有手指时，血氧仪中的光电二极管能接收到的最大光强所需要的电流值，该电流为最小电流；最高档的电流值为：根据预设暗手指放进血氧仪，光电二极管能接收到的最大光强所需要的电流值，该电流值为最大电流；其它档位的电流值为最大电流与最小电流的均分得到。
在本公开一些实施例中，调节所述血氧仪的电流档位包括增大血氧仪的电流档位以及减少血氧仪的电流档位，每次增大或减小的电流档位的数值为一个档位。
在本公开一些实施例中，所述根据所述参数信息调节所述血氧仪的光发射部件的发光强度，包括：
根据所述灌注指数与所述预设灌注指数的关系，调节所述血氧仪的电流档位；和/或，
根据所述平均光强与所述预设平均光强的关系，调节所述血氧仪的电流档位。
在本公开一些实施例中，所述预设灌注指数包括第一预设灌注指数和第二预设灌注指数；
所述根据所述灌注指数与所述预设灌注指数的关系，调节所述血氧仪的电流档位，包括：
在所述灌注指数小于所述第一预设灌注指数时，增大所述血氧仪的电流档位；
在所述灌注指数大于所述第二预设灌注指数时，减小所述血氧仪的电流档位。
在本公开一些实施例中，所述预设平均光强包括第一预设平均光强和第二预设平均光强；所述根据所述平均光强与所述预设平均光强的关系，调节所述血氧仪的电流档位，包括：
在所述平均光强小于所述第一预设平均光强时，增大所述血氧仪的电流档位；
在所述平均光强大于所述第二预设平均光强时，减小所述血氧仪的电流档位。
在本公开一些实施例中，所述方法还包括：
通过滑动取值方式获取预设数量的光强数据组；
计算光强数据组的平均值；
当所述平均值大于第一预设值且电流档位为最低档时，确定手指脱落，输出预警信息。
第二方面，根据本公开的内容，提供了一种血氧仪调节装置，包括：
光发射部件、光接收部件和主控模块，所述主控模块与所述光发射部件和所述光接收模块连接；
主控模块，用于获取光接收模块接受到的光强数据，形成光强数据组，并根据所述光强数据组对应的状态信息，计算所述光强数据组对应的参数信息，以及根据参数信息调节所述光发射部件的发光强度。
第三方面，根据本公开的内容，提供了一种电子装置，所述装置包括存储器和处理器，所述存储器中存储有计算机程序，所述处理器执行所述计算机程序时，实现如上述的方法。
第四方面，根据本公开的内容，提供了一种计算机可读存储介质，所述存储介质存储有计算机程序，所述计算机程序被执行时，实现如上述的方法。
本公开实施例提供的血氧仪调节方法和装置，获取目标手指对应的光强数据，形成光强数据组，光强数据为血氧仪的光接收部件检测到的透过所述目标 手指的光强数据；根据光强数据组对应的状态信息，计算光强数据组对应的参数信息；根据参数信息调节所述血氧仪的光发射部件的发光强度，其中，计算光强数据组对应的参数信息包括平均光强和灌注指数，根据平均光强调整血氧仪的电流档位，可以排除亮手指和暗手指以及环境光对血氧仪测量结果准确性的影响，而根据灌注指数调整血氧仪的电流档位，即根据灌注指数，调整血氧仪的电流档位，排除人体自身环境对血氧仪测量结果准确性的影响，即既可以排除因人手指粗细、皮肤颜色对血氧仪测量结果准确性的影响，也可以排除环境因素对血氧仪测量结果准确性的影响。本发明中根据光强数据组的状态信息确定不同的调节参数类型；增强了调节光强的效率，使得血氧仪可以在较短时间内稳定出值，使的血氧仪出值更快。
上述说明仅是本申请实施例技术方案的概述，为了能够更清楚了解本申请实施例的技术手段，而可依照说明书的内容予以实施，并且为了让本申请实施例的上述和其它目的、特征和优点能够更明显易懂，以下特举本申请的具体实施方式。
附图说明
为了更清楚地说明本公开的实施例的技术方案，下面将对实施例的附图进行简要说明，应当知道，以下描述的附图仅仅涉及本公开的一些实施例，而非对本公开的限制，其中：
图1是本公开实施例提供的一种血氧仪调节方法的流程示意图；
图2是本公开实施例提供的另一种血氧仪调节方法的流程示意图；
图3是本本公开实施例提供一种血氧仪调节装置的结构示意图；
图4是本公开实施例提供的一种计算机设备的结构示意图。
在附图中，最后两位数字相同的标记对应于相同的元素。需要注意的是，附图中的元素是示意性的，没有按比例绘制。
具体实施方式
为了使本公开的实施例的目的、技术方案和优点更加清楚，下面将结合附图，对本公开的实施例的技术方案进行清楚、完整的描述。显然，所描述的实 施例是本公开的一部分实施例，而不是全部的实施例。基于所描述的本公开的实施例，本领域技术人员在无需创造性劳动的前提下所获得的所有其它实施例，也都属于本公开保护的范围。
除非另外定义，否则在此使用的所有术语(包括技术和科学术语)具有与本公开主题所属领域的技术人员所通常理解的相同含义。进一步将理解的是，诸如在通常使用的词典中定义的那些的术语应解释为具有与说明书上下文和相关技术中它们的含义一致的含义，并且将不以理想化或过于正式的形式来解释，除非在此另外明确定义。如在此所使用的，将两个或更多部分“连接”或“耦接”到一起的陈述应指这些部分直接结合到一起或通过一个或多个中间部件结合。
在本文中提及“实施例”意味着，结合实施例描述的特定特征、结构或特性可以包含在本申请的至少一个实施例中。在说明书中的各个位置出现该短语“实施例”并不一定均是指相同的实施例，也不是与其它实施例互斥的独立的或备选的实施例。本领域技术人员显式地和隐式地理解的是，本文所描述的实施例可以与其它实施例相结合。
本文中术语“和/或”，仅仅是一种描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：存在A，同时存在A和B，存在B这三种情况。另外，本文中字符“/”，一般表示前后关联对象是一种“或”的关系。
此外，在本公开的所有实施例中，诸如“第一”和“第二”的术语仅用于将一个部件(或部件的一部分)与另一个部件(或部件的另一部分)区分开。
在本申请的描述中，除非另有说明，“多个”的含义是指两个以上(包括两个)，同理，“多组”指的是两组以上(包括两组)。
为了使本技术领域的人员更好地理解本申请方案，下面将结合附图，对本申请实施例中的技术方案进行清楚、完整地描述。
基于现有技术存在的问题，图1是本公开实施例提供的一种血氧仪调节方法的流程示意图，如图1所示，血氧仪调节方法的具体过程包括：
S110、获取目标手指对应的光强数据，形成光强数据组。
具体的，光强数据组包括多个光强数据，光强数据为血氧仪的光接收部件检测到的透过目标手指的光强数据。
在具体的实施方式中，首先获取目标手指放置在血氧仪上后，血氧仪的光电二极管检测到透过目标手指的光强数据。
获取目标手指对应的光强数据，形成光强数据组的一种可实现方式包括：通过获取目标手指对应的光强数据，依次形成状态信息为目标预设阈值的光强数据组。
具体的，设置目标预设阈值至少包括第一目标预设阈值和第二目标预设阈值，通过不断获取目标手指对应的光强数据，依次形成第一目标预设阈值的第一光强数据组和第二目标预设阈值的第二光强数据组。
示例性的，第一目标预设阈值为100，第二目标预设阈值为30，通过获取目标手指对应的光强数据，并对采集的目标手指的光强数据进行划分，依次形成状态信息为第一目标预设阈值的第一光强数据组，以及依次形成状态信息为第二目标预设阈值的光强数据组。例如，若采集的目标手指对应的光强数据为150个，则光强数据1-100形成一个第一光强数据组，由于剩余的光强数据101-150的数据个数不满足第一预设阈值，因此，剩余的光强数据101-150未形成一个第一光强数据组，此外，还可以将光强数据1-30形成一个第二光强数据组，31-60形成一个第二光强数据组，61-90形成一个第二光强数据组，91-120形成一个第二光强数据组，121-150形成一个第二光强数据组。
S120、根据光强数据组对应的状态信息，计算光强数据组对应的参数信息。
其中，状态信息包括光强数据组包括的光强数据的个数和/或采集光强数据组的时间，参数信息包括灌注指数和/或平均光强。
灌注指数(Perfusion Index，PI)，PI值反映了脉动血流情况，即反映了血流灌注能力。脉动的血流越大，脉动分量就越多，PI值就越大。因此，测量部位(皮肤、指甲、骨骼等影响)和病人本身的血流灌注情况(动脉血液的流动情况)都将影响PI值。由于交感神经会影响心率和动脉血压(影响脉搏动 脉血流)，所以人体的神经调节系统或精神状态也会间接影响PI值。
平均光强，即血氧仪的光电二极管检测到的透过目标手指的光强的平均值，平均光强间接反应人体血流状态。
作为一种可实现方式，根据光强数据组对应的状态信息，确定光强数据组对应的参数信息，包括：根据目标预设阈值配置预先关联的调节参数类型，并根据获取到的光强数据组计算与调节参数类型对应的参数信息。
具体的，根据第一目标预设阈值确定调节参数类型为灌注指数，并根据第一光强数据组计算对应的第一灌注指数；根据第二目标预设阈值确定调节参数类型为平均光强，并根据第二光强数据组计算对应的第一平均光强。
示例性的，形成的第一光强数据组包括的光强数据的个数为100个光强数据时，此时，根据第一光强数据组计算对应的第一灌注指数，形成的第二光强数据组包括的光强数据的个数为30个光强数据时，此时，根据第二光强数据组计算对应的第一平均光强。
其中，计算第一灌注指数的方式为：首先计算第一光强数据组包括的100个光强数据对应的平均值DC，然后计算第一光强数据组中包括的100个光强数据对应的最大光强值与最小光强值对应的差值AC，通过将平均值DC与最大光强值和最小光强值的差值AC求积，确定第一灌注指数。计算第一平均光强的方式为：计算第二光强数据组包括的30个光强数据对应的平均值DC。
在该实施方式中，当获取的光强数据的个数不满足第一目标预设阈值，满足第二目标预设阈值，此时，通过获取光强数据组中对应30个光强数据对应的第一平均光强，实现根据用户的手指情况调整电流档位进而调整透光手指的光强例如亮手指(细手指容易透光)和暗手指(胖手指不易透光)，减少调整到合适光强的时间，提高血氧仪测量结果的准确性，随着获取的光强数据的增加，当光强数据的个数满足第一目标预设阈值，此时，计算光强数据对应的第一灌注指数，然后根据第一灌注指数调整血氧仪的电流档位，即根据灌注指数，调整血氧仪的电流档位，排除人体自身环境对血氧仪测量结果准确性的影响，提高血氧仪的准确性。
作为另一种可实现方式，根据光强数据组对应的状态信息，确定光强数据组对应的参数信息，包括：当获取到的光强数据组的状态信息满足N倍的目标预设阈值时，根据目标预设阈值配置预先关联的调节参数类型，并根据最新获取到的子光强数据组计算与调节参数类型对应的参数信息，其中，光强数据组包括N个子光强数据组，每个子光强数据组的状态信息为目标预设阈值，N为大于等于1的整数。
具体的，当获取到的光强数据组的状态信息满足A倍的第一目标预设阈值时，根据第一目标预设阈值确定调节参数类型为灌注指数，并根据最新获取到的子光强数据组计算对应的第二灌注指数；当获取到的光强数据组的状态信息满足B倍的第二目标预设阈值时，根据第二目标预设阈值确定调节参数类型为平均光强，并根据最新获取到的子光强数据组计算对应的第二平均光强。
在该实施例中，第一目标预设阈值为100，第二目标预设阈值为30，通过获取目标手指对应的光强数据形成光强数据组，当获取到的光强数据组的状态信息满足A倍的第一目标预设阈值时，例如，若采集的目标手指对应的光强数据为150个，则光强数据1-100组成的光强数据组满足1倍的第一目标预设阈值，此时，1-100对应的光强数据组成的子光强数据组已经计算了对应的灌注指数，而随着光强数据的不断增加，增加至200，即光强数据组的状态信息满足2倍的第一目标预设阈值，此时，计算光强数据101-200形成的子光强数据组对应的第二灌注指数。若采集的目标手指对应的光强数据为150个，光强数据1-30形成一个第二光强数据组，31-60形成一个第二光强数据组，61-90形成一个第二光强数据组，91-120形成一个第二光强数据组，121-150形成一个第二光强数据组。而随着光强数据的不断增加，增加至180，即光强数据组的状态信息满足6倍的第二目标预设阈值，此时，计算光强数据151-180形成的子光强数据组对应的第二平均光强。
上述实施例中，当状态参数为采集光强数据组的时间，此时，第一目标预设阈值为为脉搏波一个周期的时间，第二目标预设阈值小于脉搏波一个周期的时间；当状态参数为采集光强数据组的个数，此时，第二目标预设阈值小于第 一目标预设阈值。
由于血氧仪计算PI值至少需要脉搏波一个周期时间(正常为60/分钟)，且当获取到100个光强数据时，获取到100个光强数据对应的时间刚好为脉搏波一个周期的时间，因此，可以通过采集光强数据组的个数或采集光强数据组的时间，确定光强数据组对应的参数信息。
S130、根据参数信息调节血氧仪的光发射部件的发光强度。
作为一种具体的可实施方式，根据参数信息与预设参数信息的关系，调节血氧仪的电流档位。
其中，预设参数信息包括预设参数信息包括预设灌注指数和预设平均光强。
作为一种具体的实施方式，根据参数信息与预设参数信息的关系，调节血氧仪的电流档位，包括：根据灌注指数与预设灌注指数的关系，调节血氧仪的电流档位。
具体的：在灌注指数小于第一预设灌注指数时，增大血氧仪的电流档位；在灌注指数大于第二预设灌注指数时，减小血氧仪的电流档位。
第一预设灌注指数为0.4，第二预设灌注指数为1，其中，0.4为弱灌注指数，1为强灌注指数，在该灌注指数下，血氧值测量结果均不准确。
通过计算灌注指数，根据灌注指数调节血氧仪的电流档位，由于灌注指数可以较稳定的反应人体的血流状态，受外界环境影响较弱，例如人体手凉时手指末梢血流量减少，PI值偏低，通过计算PI值调整血氧仪的电流档位，可以降低因人体自身受环境温度变化导致血氧仪测量结果不准确的情况。
作为另一种具体的实施方式，根据平均光强与预设平均光强的关系，调节血氧仪的电流档位，包括：根据灌注指数与预设灌注指数的关系，调节血氧仪的电流档位。
具体的，在平均光强小于第一预设平均光强时，增大血氧仪的电流档位；在平均光强大于第二预设平均光强时，减小血氧仪的电流档位。
通过计算平均光强，根据平均光强调整血氧仪的电流档位，避免亮手指(细手指易透光)和暗手指(胖手指不易透光)对血氧仪测量结果准确性的影响接 收光强的影响，且可以滤除环境光对血氧仪测量结果准确性的影响。
需要说明的是，上述实施例中，增大血氧仪的电流档位以及减少血氧仪的电流档位的过程中，每次增大或减小的电流档位的数值为一个档位。
需要说明的是，本公开实施例中，血氧仪的电流档位包括5档，第一档的电流值为：当血氧仪中没有手指时，血氧仪中的光电二极管能接收到的最大光强所需要的电流值，该电流为最小电流，第五档的电流值为，根据大数据采集多人的手指粗细，将最粗(暗手指)放进血氧仪，光电二极管能接收到的最大光强所需要的电流值，该电流值为最大电流，其它档位的电流值为最大电流与最小电流的均分。
本公开实施例提供的血氧仪调节方法，获取目标手指对应的光强数据，形成光强数据组，光强数据为血氧仪的光接收部件检测到的透过所述目标手指的光强数据；根据光强数据组对应的状态信息，计算光强数据组对应的参数信息；根据参数信息调节所述血氧仪的光发射部件的发光强度，其中，计算光强数据组对应的参数信息包括平均光强和灌注指数，根据平均光强调整血氧仪的电流档位，可以排除亮手指和暗手指以及环境光对血氧仪测量结果准确性的影响，而根据灌注指数调整血氧仪的电流档位，即根据灌注指数，调整血氧仪的电流档位，排除人体自身环境对血氧仪测量结果准确性的影响，即既可以排除因人手指粗细、皮肤颜色对血氧仪测量结果准确性的影响，也可以排除环境因素对血氧仪测量结果准确性的影响。本发明中根据光强数据组的状态信息确定不同的调节参数类型；增强了调节光强的效率，使得血氧仪可以在较短时间内稳定出值，使的血氧仪出值更快。
在具体的实施方式中，获取目标手指对应的光强数据之前，还包括：将血氧仪的电流档位调整至初始档位，其中，初始档位为血氧仪的电流档位的中间档位。
在获取目标手指对应的光强数据之前，首先通过将血氧仪的电流档位调整至初始档位，就电流档位的中间档位，可以保证后期获取的光强数据的准确性，减少非必要对电流档位的调节，提高血氧仪可以出稳定值的效率。
此外，本申请公开的血氧仪调节方法还包括：通过滑动取值方式获取预设数量的光强数据组；计算光强数据组的平均值；当平均值大于第一预设值且电流档位为最低档时，确定手指脱落，输出预警信息。
具体的，按照预设滑动方式获取目标手指在最低档位对应的光强数据；在滑动窗口满足预设滑动窗口时，依次确定每个滑动窗口对应的光强数据组的平均值；当平均值大于第一预设值且电流档位为最低档时，确定手指脱落，输出预警信息。
当基于光强数据组实现对电流档位调节后，在获取下一个目标手指对应的光强数据的过程中，需要对目标手指状态信息进行确定，即在获取目标手指对应的光强数据组之时，若出现目标手指滑落现象后，需要重新进行目标手指对应的光强数据的获取。而判断目标手指是否出现滑落现象的方式是：按照预设滑动方式获取目标手指在最低档位对应的光强数据；在滑动窗口满足预设滑动窗口时，依次确定每个滑动窗口对应的光强数据的平均值；根据每个滑动窗口对应的光强数据的平均值确定所述目标手指的状态信息。
预设滑动方式为，滑动获取1-8，2-9，3-10，...，窗口对应的光强数据，滑动窗口的个数与目标预设阈值和滑动窗口包括的光强数据有关，例如，目标预设阈值为30时，滑动窗口包括的光强数据为8个，此时滑动窗口的个数为23个。当某一个滑动窗口包括的光强数据平均值发生较大的波动时，此时，该滑动窗口中采集到的光强数据出现目标手指滑落现象。
此外，本公开实施例中，通过对血氧仪电流的调整，保证血氧仪输出稳定波形，进而实现基于血氧仪输出的波形对人体血氧变化的准确检测。
以下将通过具体的示例进行说明，如图2所示，首先执行步骤S11、将血氧仪调节至初始电流档位，初始电流档位为血氧仪电流档位中的中间档位，然后执行步骤S12、获取在初始电流档位下目标手指对应的光强数据，步骤S13、按照预设滑动方式确定目标手指的状态信息，步骤S13的具体过程为首先按照预设滑动方式获取目标手指在最低档位对应的光强数据，然后依次确定每个滑动窗口对应的光强数据的平均值，最后根据每个滑动窗口对应的光强数据的平 均值确定目标手指的状态信息，在确定目标手指的状态信息为未脱落状态时，执行步骤S14、判断获取到的目标手指对应的光强数据是否满足目标预设阈值，当获取到的目标手指对应的光强数据满足第一目标预设阈值(100)，此时，执行步骤S15，当获取到的目标手指对应的光强数据不满足第一目标预设阈值，此时跳转到步骤S20，执行判断目标手指对应的光强数据是否满足第二目标预设阈值(30)，其中，S15、获取该目标手指对应的光强数据组的平均值DC，步骤S16、获取目标手指对应的光强数据组中光强数据的最大值和最小值的差值AC，步骤S17、根据光强数据组的平均值以及光强数据组中光强数据的最大值和最小值的差值确定灌注指数，S18、判断灌注指数是否小于0.4，当灌注指数小于0.4，电流调高一档，当灌注指数大于0.4，继续S19、判断灌注指数是否大于1，当灌注指数大于1，电流调高一档，当灌注指数小于1，继而执行步骤S20、判断目标手指对应的光强数据组包括的光强数据是否满足第二目标预设阈值，当光强数据组包括的光强数据满足第二目标预设阈值时，执行步骤S21、计算第二目标预设阈值对应的光强数据的平均光强，根据计算得到的光强数据的平均光强执行步骤S22、判断平均光强是否超过上限，当平均光强超过上限，电流调低一档，当平均光强未超过上限，执行步骤S23、判断平均光强是否小于下线，当平均光强小于下线，电流调高一档，当平均光强未小于下限，返回步骤S12、获取下一组光强数据组，继续进行上述循环调节。
在上述实施例的基础上，本公开实施例还提供一种血氧仪调节装置，如图3所示，血氧仪调节装置包括：
光发射部件210、光接收部件220和主控模块230，主控模块与光发射部件和光接收模块连接；
主控模块230，用于获取光接收模块接受到的光强数据，形成光强数据组，并根据光强数据组对应的状态信息，计算光强数据组对应的参数信息，以及根据参数信息调节所述光发射部件的发光强度。
本公开实施例提供的血氧仪调节装置，包括：光发射部件、光接收部件和主控模块，主控模块与光发射部件和光接收模块连接；主控模块，用于获取光 接收模块接受到的光强数据，形成光强数据组，并根据光强数据组对应的状态信息，计算光强数据组对应的参数信息，以及根据参数信息调节所述光发射部件的发光强度。，其中，计算光强数据组对应的参数信息包括平均光强和灌注指数，根据平均光强调整血氧仪的电流档位，可以排除亮手指和暗手指以及环境光对血氧仪测量结果准确性的影响，而根据灌注指数调整血氧仪的电流档位，即根据灌注指数，调整血氧仪的电流档位，排除人体自身环境对血氧仪测量结果准确性的影响，即既可以排除因人手指粗细、皮肤颜色对血氧仪测量结果准确性的影响，也可以排除环境因素对血氧仪测量结果准确性的影响。本发明中根据光强数据组的状态信息确定不同的调节参数类型；增强了调节光强的效率，使得血氧仪可以在较短时间内稳定出值，使的血氧仪出值更快。
本申请实施例还提供了一种计算机设备。具体请参阅图4，图4为本实施例计算机设备基本结构框图。
计算机设备包括通过系统总线相互通信连接存储器410和处理器420。需要指出的是，图中仅示出了具有组件410-420的计算机设备，但是应理解的是，并不要求实施所有示出的组件，可以替代的实施更多或者更少的组件。其中，本技术领域技术人员可以理解，这里的计算机设备是一种能够按照事先设定或存储的指令，自动进行数值计算和/或信息处理的设备，其硬件包括但不限于微处理器、专用集成电路(Application Specific Integrated Circuit，ASIC)、可编程门阵列(Field-Programmable Gate Array，FPGA)、数字处理器(Digital Signal Processor，DSP)、嵌入式设备等。
计算机设备可以是桌上型计算机、笔记本、掌上电脑及云端服务器等计算设备。计算机设备可以与用户通过键盘、鼠标、遥控器、触摸板或声控设备等方式进行人机交互。
存储器410至少包括一种类型的可读存储介质，可读存储介质包括非易失性存储器(non-volatile memory)或易失性存储器，例如，闪存(flash memory)、硬盘、多媒体卡、卡型存储器(例如，SD或DX存储器等)、随机访问存储器(random access memory，RAM)、只读存储器(read-only memory，ROM)、 可擦写可编程只读存储器(erasable programmable read-only memory，EPROM)、电可擦写可编程只读存储器(electrically erasable programmable read-only memory，EEPROM)、可编程只读存储器(programmable read-only memory，PROM)、磁性存储器、磁盘、光盘等，RAM可以包括静态RAM或动态RAM。在一些实施例中，存储器410可以是计算机设备的内部存储单元，例如，该计算机设备的硬盘或内存。在另一些实施例中，存储器410也可以是计算机设备的外部存储设备，例如该计算机设备上配备的插接式硬盘、智能存储卡(Smart Media Card，SMC)、安全数字(Secure Digital，SD)卡或闪存卡(Flash Card)等。当然，存储器410还可以既包括计算机设备的内部存储单元也包括其外部存储设备。本实施例中，存储器410通常用于存储安装于计算机设备的操作系统和各类应用软件，例如上述方法的程序代码等。此外，存储器410还可以用于暂时地存储已经输出或者将要输出的各类数据。
处理器420通常用于执行计算机设备的总体操作。本实施例中，存储器410用于存储程序代码或指令，程序代码包括计算机操作指令，处理器420用于执行存储器410存储的程序代码或指令或者处理数据，例如运行上述方法的程序代码。
本文中，总线可以是工业标准体系结构(Industry Standard Architecture，ISA)总线、外设部件互连标准(Peripheral Component Interconnect，PCI)总线或扩展工业标准结构(Extended Industry Standard Architecture，EISA)总线等。该总线系统可以分为地址总线、数据总线、控制总线等。为便于表示，图中仅用一条粗线表示，但并不表示仅有一根总线或一种类型的总线。
本申请的另一实施例还提供一种计算机可读介质，计算机可读介质可以是计算机可读信号介质或者计算机可读介质。计算机中的处理器读取存储在计算机可读介质中的计算机可读程序代码，使得处理器能够执行在上述方法中每个步骤、或各步骤的组合中规定的功能动作；生成实施在框图的每一块、或各块的组合中规定的功能动作的装置。
计算机可读介质包含但不限于电子、磁性、光学、电磁、红外的存储器或 半导体系统、设备或者装置，或者前述的任意适当组合，存储器用于存储程序代码或指令，程序代码包括计算机操作指令，处理器用于执行存储器存储的上述方法的程序代码或指令。
存储器和处理器的定义，可以参考前述计算机设备实施例的描述，在此不再赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统、装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，模块或单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
在本申请各个实施例中的各功能单元或模块可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)或处理器(processor)执行本申请各个实施例方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
除非上下文中另外明确地指出，否则在本文和所附权利要求中所使用的词语的单数形式包括复数，反之亦然。因而，当提及单数时，通常包括相应术语 的复数。相似地，措辞“包含”和“包括”将解释为包含在内而不是独占性地。同样地，术语“包括”和“或”应当解释为包括在内的，除非本文中明确禁止这样的解释。在本文中使用术语“示例”之处，特别是当其位于一组术语之后时，所述“示例”仅仅是示例性的和阐述性的，且不应当被认为是独占性的或广泛性的。
适应性的进一步的方面和范围从本文中提供的描述变得明显。应当理解，本申请的各个方面可以单独或者与一个或多个其它方面组合实施。还应当理解，本文中的描述和特定实施例旨在仅说明的目的并不旨在限制本申请的范围。
以上对本公开的若干实施例进行了详细描述，但显然，本领域技术人员可以在不脱离本公开的精神和范围的情况下对本公开的实施例进行各种修改和变型。本公开的保护范围由所附的权利要求限定。

Claims (17)

  1. 一种血氧仪调节方法，其特征在于，包括：
    获取目标手指对应的光强数据，形成光强数据组，所述光强数据为血氧仪的光接收部件检测到的透过所述目标手指的光强数据；
    根据所述光强数据组对应的状态信息，计算所述光强数据组对应的参数信息；
    根据所述参数信息调节所述血氧仪的光发射部件的发光强度。
  2. 根据权利要求1所述的方法，其特征在于，所述状态信息包括光强数据组包括的光强数据的个数和/或采集光强数据组的时间，所述参数信息的类型包括灌注指数和/或平均光强。
  3. 根据权利要求1所述的方法，其特征在于，所述获取目标手指对应的光强数据，形成光强数据组，包括：
    采集目标手指的光强数据，依次形成状态信息为目标预设阈值的光强数据组；
    所述根据所述光强数据组对应的状态信息，确定所述光强数据组对应的参数信息，包括：
    根据目标预设阈值配置预先关联的调节参数类型，并根据获取到的光强数据组计算与所述调节参数类型对应的参数信息。
  4. 根据权利要求3所述的方法，其特征在于，所述目标预设阈值至少包括第一目标预设阈值和第二目标预设阈值；
    所述依次形成状态信息为目标预设阈值的光强数据组，包括：
    依次形成状态信息为第一目标预设阈值的第一光强数据组，以及依次形成状态信息为第二目标预设阈值的第二光强数据组；
    所述根据目标预设阈值配置预先关联的调节参数类型，并根据获取到的光强数据组计算与所述调节参数类型对应的参数信息，包括：
    根据第一目标预设阈值确定调节参数类型为灌注指数，并根据第一光强数据组计算对应的第一灌注指数；
    根据第二目标预设阈值确定调节参数类型为平均光强，并根据第二光强数据组计算对应的第一平均光强。
  5. 根据权利要求4所述的方法，其特征在于，根据第一光强数据组计算对应的第一灌注指数，包括：
    计算所述第一光强数据组中平均值；
    计算所述第一光强数据组包括的光强数据对应的最大光强值与最小光强值的差值；
    通过将所述平均值与最大光强值与最小光强值的差值确定第一灌注指数。
  6. 根据权利要求1所述的方法，其特征在于，根据所述光强数据组对应的状态信息，计算所述光强数据组对应的参数信息，包括：
    当获取到的所述光强数据组的状态信息满足N倍的目标预设阈值时，根据目标预设阈值配置预先关联的调节参数类型，并根据最新获取到的子光强数据组计算与所述调节参数类型对应的参数信息，其中，所述光强数据组包括N个子光强数据组，每个子光强数据组的状态信息为目标预设阈值，N为大于等于1的整数。
  7. 根据权利要求6所述的方法，其特征在于，所述目标预设阈值至少包括第一目标预设阈值和第二目标预设阈值；
    所述当获取到的所述光强数据组的状态信息满足N倍的目标预设阈值时，根据目标预设阈值配置预先关联的调节参数类型，并根据最新获取到的子光强数据组计算与所述调节参数类型对应的参数信息，包括：
    当获取到的所述光强数据组的状态信息满足A倍的第一目标预设阈值时，根据第一目标预设阈值确定调节参数类型为灌注指数，并根据最新获取到的子光强数据组计算对应的第二灌注指数；
    当获取到的所述光强数据组的状态信息满足B倍的第二目标预设阈值时，根据第二目标预设阈值确定调节参数类型为平均光强，并根据最新获取到的子光强数据组计算对应的第二平均光强。
  8. 根据权利要求4或7所述的方法，其特征在于，所述状态参数为采集 光强数据组的时间，所述第一目标预设阈值为为脉搏波一个周期的时间，所述第二目标预设阈值小于脉搏波一个周期的时间；
    和/或，
    所述状态参数为采集光强数据组的个数，所述第二目标预设阈值小于第一目标预设阈值。
  9. 根据权利要求1所述的方法，其特征在于，所述根据所述参数信息调节所述血氧仪的光发射部件的发光强度，包括：
    所述根据所述参数信息与预设参数信息的关系，调节所述血氧仪的电流档位。
  10. 根据权利要求9所述的方法，其特征在于，血氧仪的电流档位包括多个档位，其中，第一档的电流值为：当血氧仪中没有手指时，血氧仪中的光电二极管能接收到的最大光强所需要的电流值，该电流为最小电流；最高档的电流值为：根据预设暗手指放进血氧仪，光电二极管能接收到的最大光强所需要的电流值，该电流值为最大电流；其它档位的电流值为最大电流与最小电流的均分得到。
  11. 根据权利要求9所述的方法，其特征在于，调节所述血氧仪的电流档位包括增大血氧仪的电流档位以及减少血氧仪的电流档位，每次增大或减小的电流档位的数值为一个档位。
  12. 根据权利要求4或7所述的方法，其特征在于，所述根据所述参数信息调节所述血氧仪的光发射部件的发光强度，包括：
    根据所述灌注指数与所述预设灌注指数的关系，调节所述血氧仪的电流档位；和/或，
    根据所述平均光强与所述预设平均光强的关系，调节所述血氧仪的电流档位。
  13. 根据权利要求12所述的方法，其特征在于，所述预设灌注指数包括第一预设灌注指数和第二预设灌注指数；
    所述根据所述灌注指数与所述预设灌注指数的关系，调节所述血氧仪的电 流档位，包括：
    在所述灌注指数小于所述第一预设灌注指数时，增大所述血氧仪的电流档位；
    在所述灌注指数大于所述第二预设灌注指数时，减小所述血氧仪的电流档位。
  14. 根据权利要求12所述的方法，其特征在于，所述预设平均光强包括第一预设平均光强和第二预设平均光强；
    所述根据所述平均光强与所述预设平均光强的关系，调节所述血氧仪的电流档位，包括：
    在所述平均光强小于所述第一预设平均光强时，增大所述血氧仪的电流档位；
    在所述平均光强大于所述第二预设平均光强时，减小所述血氧仪的电流档位。15、根据权利要求9所述的方法，其特征在于，所述方法还包括：
    通过滑动取值方式获取预设数量的光强数据组；
    计算光强数据组的平均值；
    当所述平均值大于第一预设值且电流档位为最低档时，确定手指脱落，输出预警信息。
  15. 一种血氧仪调节装置，其特征在于，包括：
    光发射部件、光接收部件和主控模块，所述主控模块与所述光发射部件和所述光接收模块连接；
    主控模块，用于获取光接收模块接受到的光强数据，形成光强数据组，并根据所述光强数据组对应的状态信息，计算所述光强数据组对应的参数信息，以及根据参数信息调节所述光发射部件的发光强度。
  16. 一种电子装置，其特征在于，所述装置包括存储器和处理器，所述存储器中存储有计算机程序，所述处理器执行所述计算机程序时，实现如权利要求1至15中任一项所述的方法。
  17. 一种计算机可读存储介质，其特征在于，所述存储介质存储有计算机 程序，所述计算机程序被执行时，实现如权利要求1至15中任一项所述的方法。
PCT/CN2024/095189 2023-05-26 2024-05-24 血氧仪调节方法和装置 Ceased WO2024245138A1 (zh)

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Publication number Priority date Publication date Assignee Title
CN116616763B (zh) * 2023-05-26 2025-04-29 北京超思电子技术有限责任公司 血氧仪调节方法和装置
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010233908A (ja) * 2009-03-31 2010-10-21 Konica Minolta Sensing Inc パルスオキシメータ
CN110192867A (zh) * 2019-06-25 2019-09-03 深圳市蓝瑞格生物医疗科技有限公司 一种提升测量系统测量精度的方法及系统
CN113017623A (zh) * 2021-03-04 2021-06-25 江苏盖睿健康科技有限公司 一种低灌注血氧饱和度的测量方法、设备和存储介质
CN218852702U (zh) * 2022-11-29 2023-04-14 苏州坤元微电子有限公司 指夹式血氧仪
CN115998294A (zh) * 2022-12-28 2023-04-25 江苏鱼跃医疗设备股份有限公司 血氧检测方法、装置、控制器、可读存储介质
CN116616763A (zh) * 2023-05-26 2023-08-22 北京超思电子技术有限责任公司 血氧仪调节方法和装置

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6882874B2 (en) * 2002-02-15 2005-04-19 Datex-Ohmeda, Inc. Compensation of human variability in pulse oximetry
CN107773250A (zh) * 2017-11-22 2018-03-09 江苏康尚生物医疗科技有限公司 一种自动增益控制的光电脉搏血氧仪快速调光控制方法
US11051729B1 (en) * 2020-01-17 2021-07-06 Capmet, Inc. Oxygen saturation measuring device, probe adapted to be used therefor, and oxygen saturation measuring method
CN114533053B (zh) * 2020-11-27 2024-05-14 安徽华米健康科技有限公司 血氧测量方法和装置

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010233908A (ja) * 2009-03-31 2010-10-21 Konica Minolta Sensing Inc パルスオキシメータ
CN110192867A (zh) * 2019-06-25 2019-09-03 深圳市蓝瑞格生物医疗科技有限公司 一种提升测量系统测量精度的方法及系统
CN113017623A (zh) * 2021-03-04 2021-06-25 江苏盖睿健康科技有限公司 一种低灌注血氧饱和度的测量方法、设备和存储介质
CN218852702U (zh) * 2022-11-29 2023-04-14 苏州坤元微电子有限公司 指夹式血氧仪
CN115998294A (zh) * 2022-12-28 2023-04-25 江苏鱼跃医疗设备股份有限公司 血氧检测方法、装置、控制器、可读存储介质
CN116616763A (zh) * 2023-05-26 2023-08-22 北京超思电子技术有限责任公司 血氧仪调节方法和装置

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
See also references of EP4696234A4
ZHANG SHUAI, PINGPING HU: "Algorithm Research on Parameters Control of Non-invasive Oximeter Circuit", INFORMATION & COMMUNICATIONS, vol. 1, no. 157, 1 January 2016 (2016-01-01), pages 42 - 45, XP093244979, ISSN: 1673-1131 *

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