WO2017113152A1 - Procédé de mesure de rythme cardiaque fondé sur une pluralité de groupes de sources de lumière et dispositif portatif pour mettre en œuvre le procédé - Google Patents

Procédé de mesure de rythme cardiaque fondé sur une pluralité de groupes de sources de lumière et dispositif portatif pour mettre en œuvre le procédé Download PDF

Info

Publication number
WO2017113152A1
WO2017113152A1 PCT/CN2015/099777 CN2015099777W WO2017113152A1 WO 2017113152 A1 WO2017113152 A1 WO 2017113152A1 CN 2015099777 W CN2015099777 W CN 2015099777W WO 2017113152 A1 WO2017113152 A1 WO 2017113152A1
Authority
WO
WIPO (PCT)
Prior art keywords
heart rate
light sources
signal
module
peak
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2015/099777
Other languages
English (en)
Chinese (zh)
Inventor
杜凯萌
傅荃炜
洪叶
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
SKY LIGHT ELECTRONIC (SHENZHEN) Ltd Corp
Original Assignee
SKY LIGHT ELECTRONIC (SHENZHEN) Ltd Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by SKY LIGHT ELECTRONIC (SHENZHEN) Ltd Corp filed Critical SKY LIGHT ELECTRONIC (SHENZHEN) Ltd Corp
Priority to PCT/CN2015/099777 priority Critical patent/WO2017113152A1/fr
Publication of WO2017113152A1 publication Critical patent/WO2017113152A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • 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
    • 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
    • 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
    • A61B5/0245—Measuring pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals

Definitions

  • the present invention relates to the field of mobile health technologies, and in particular, to a heart rate measurement method based on multiple sets of light sources and a wearable device implementing the same.
  • Existing wearable devices that measure heart rate by light volume have only one set of light sources. If the light source of the group is relatively close to the photoelectric sensor, the light signal emitted by the group of light sources is directly transmitted to the photoelectric sensor through the reflection of the human body, and the light signal received by the photoelectric sensor does not contain the heart rate signal, and the light signal is The signal-to-noise ratio is relatively low. Therefore, when the light source of the group is relatively close to the photoelectric sensor, it is suitable to test the heart rate of the person in a relatively static state.
  • the light source of the group is far away from the photoelectric sensor, the light signal emitted by the group of light sources needs to be reflected by the body tissue to be transmitted to the photoelectric sensor, and the light signal received by the photoelectric sensor carries the blood flow signal.
  • the light of the light signal is relatively high, and the signal-to-noise ratio of the light signal is relatively high. Therefore, when the light source of the group is far away from the photoelectric sensor, it is suitable to test the heart rate of the person under motion.
  • a heart rate measurement method based on multiple sets of light sources includes the following steps:
  • the first optical signal is subjected to digital filtering to obtain a first optical signal including a direct current component and an alternating current component.
  • the method further includes:
  • the first photo-electric signal is subjected to peak detection to obtain a first spectral peak.
  • a set of light sources is selected among the at least two sets of light sources according to the brightness, the magnification, and the fourth preset rule, and the selected set of light sources is used to measure the exercise heart rate.
  • the method further includes:
  • the motion signal of the human body is collected, and after the motion signal is digitally filtered, peak detection is performed to obtain a second spectrum peak.
  • a set of light sources is selected among at least two sets of light sources according to a ratio of a direct current component to an alternating current component, an existing LED brightness, a magnification, a second spectral peak, and a fifth preset rule, and the selected set of light sources is used to measure the exercise heart rate.
  • the method further comprises:
  • the heart rate signal is collected by using the second optical signal emitted by the selected set of light sources, and after the heart rate signal is digitally filtered, peak detection is performed to obtain the heart rate frequency and the third spectrum peak.
  • the motion signal of the human body is collected, and after the motion signal is digitally filtered, peak detection is performed to obtain a motion frequency and a fourth spectrum peak.
  • the third spectral peak is calculated by the sixth preset rule to obtain the heart rate weight C1
  • the fourth spectral peak is calculated by the seventh preset rule to obtain the motion weight C2.
  • the heart rate frequency acquired in the preset time period is subjected to frequency distribution processing in a preset heart rate interval including a plurality of sub heart rate intervals B i to obtain a heart rate frequency probability density P(Q i ) of each of the sub heart rate intervals B i .
  • the frequency distribution process is performed within the preset heart rate interval for the motion frequency acquired in the preset time period, and the motion frequency probability density P(G i ) of each of the sub heart rate intervals B i is obtained.
  • the output shows the heart rate HR and/or the heart rate HR to the outside.
  • the heart rate signal is acquired by using the second optical signal emitted by the selected set of light sources, and after the heart rate signal is digitally filtered, the steps of performing peak detection to obtain the heart rate frequency and the third spectral peak include:
  • the voltage signal is subjected to filtering processing and amplification processing to obtain an amplified signal.
  • the digital signal is subjected to digital filtering to obtain a second photoelectric signal including a direct current component and an alternating current component.
  • the second photo-electric signal is subjected to peak detection to obtain a heart rate frequency and a third spectrum peak.
  • a wearable device comprising:
  • the photoelectric conversion unit is configured to receive a first optical signal emitted by a group of starting light sources reflected by the human body.
  • the first digital filtering processing module is configured to perform digital filtering processing on the first optical signal to obtain a first photoelectric signal including a direct current component and an alternating current component, and transmit the first photoelectric signal to the first light source selecting module.
  • a first light source selection module configured to select a group of light sources from at least two groups of light sources according to a ratio of a direct current component to an alternating current component and a first preset rule, and use the selected set of light sources to measure a moving heart rate, each set of light sources and The photoelectric conversion units have different distances between them.
  • the wearable device further includes a first peak detecting module, an adjusting module and a second light source selecting module.
  • the first peak detecting module is configured to receive the first photoelectric signal sent by the first digital filtering processing module and perform peak detection on the first photoelectric signal to obtain a first spectral peak.
  • the adjusting module is configured to adjust the brightness of the starting light source according to the first spectral peak value and the second preset rule, and adjust the amplification factor of the amplifying unit according to the first spectral peak value and the third preset rule.
  • the second light source selection module is further configured to select a set of light sources among the at least two sets of light sources according to the brightness, the magnification, and the fourth preset rule, and perform the measurement of the exercise heart rate by using the selected set of light sources.
  • the wearable device further includes a first acquisition module, a second digital filter processing module, and a second Peak detection module and decision module.
  • the first acquisition module is configured to collect a motion signal of the human body and transmit the motion signal to the second digital filter processing module.
  • the second digital filtering processing module is configured to perform digital filtering processing on the motion signal and transmit the processed operation signal to the second peak detecting module.
  • the second peak detecting module is configured to perform peak detection on the digitally filtered motion signal to obtain a second spectral peak.
  • the decision module is further configured to select a group of light sources from the at least two groups of light sources according to a ratio of a direct current component to an alternating current component, a brightness, a magnification, a second spectral peak, and a fifth preset rule, and use the selected set of light sources to perform a heart rate Measurement.
  • the wearable device further includes a second collection module, a heart rate weight calculation module, a motion weight calculation module, a first probability density processing module, a second probability density processing module, an average value calculation module, and a heart rate calculation module, and/or Display module and output module.
  • the second collecting module is configured to collect the heart rate signal by using the optical signals emitted by the selected set of light sources.
  • the first digital filtering processing module is configured to perform digital filtering processing on the heart rate signal and transmit the processed heart rate signal to the first peak detecting module.
  • the first peak detecting module is configured to perform peak detection on the digitally filtered heart rate signal to obtain a heart rate frequency and a third spectrum peak.
  • the first acquisition module is configured to collect a motion signal of the human body and transmit the motion signal to the second digital filter processing module.
  • the second digital filtering processing module is configured to perform digital filtering processing on the motion signal and transmit the processed motion signal to the second peak detecting module.
  • the second peak detecting module is configured to perform peak detection on the digitally filtered motion signal to obtain a motion frequency and a fourth spectrum peak.
  • the heart rate weight calculation module is configured to calculate the heart rate weight C1 by using the sixth preset rule by the third spectrum peak.
  • the motion weight calculation module is configured to calculate the motion weight C2 by using the seventh preset rule by the fourth spectrum peak.
  • the first probability density processing module is configured to perform frequency distribution processing on the heart rate frequency acquired in the preset time period in a preset heart rate interval including the plurality of sub heart rate intervals B i to obtain a heart rate frequency probability of each of the sub heart rate intervals B i Density P(Q i ).
  • the second probability density processing module performs frequency distribution processing on the motion frequency acquired in the preset time period in a preset heart rate interval to obtain a motion frequency probability density P(G i ) of each of the sub heart rate intervals B i .
  • An average calculation module for calculating an average of all heart rate frequencies within each of the sub-heart rate intervals B i The heart rate calculation module calculates the heart rate HR according to formula (1):
  • a display module for outputting a display heart rate HR.
  • Output module for sending heart rate HR to the outside.
  • the second acquisition module comprises a photoelectric conversion unit, an amplification unit and an analog to digital conversion unit.
  • the photoelectric conversion unit is configured to receive an optical signal emitted by the selected group of light sources reflected by the human body, and convert the optical signal into a voltage signal.
  • the amplifying unit is configured to filter and process the voltage signal to obtain an amplified signal.
  • An analog to digital conversion unit for converting an amplified signal into a digital signal.
  • the first digital filtering processing module is configured to perform digital filtering processing on the digital signal, and perform peak detection to obtain a heart rate frequency and a third spectral peak.
  • the adjusting module is configured to adjust the brightness of the excitation light source according to the third spectral peak value and the second preset rule, and adjust the amplification factor of the voltage signal according to the third spectral peak value and the third preset rule.
  • the invention selects a set of suitable light sources by setting a plurality of sets of light sources and using a set of starting light source measurements to perform heart rate measurement under the selected light source, so that the measurement result is more accurate.
  • FIG. 1 is a schematic diagram of functional modules of an embodiment of a wearable device of the present invention.
  • FIG. 2 is a schematic diagram of functional modules of another embodiment of a wearable device of the present invention.
  • FIG. 3 is a schematic diagram of functional modules of another embodiment of a wearable device of the present invention.
  • FIG. 4 is a schematic flow chart of an embodiment of a heart rate measurement method based on multiple sets of light sources according to the present invention.
  • FIG. 5 is a schematic flow chart of another embodiment of a heart rate measurement method based on multiple sets of light sources according to the present invention.
  • FIG. 6 is a schematic flow chart of another embodiment of a heart rate measurement method based on multiple sets of light sources according to the present invention.
  • Figure 1 illustrates an embodiment of a wearable device of the present invention.
  • the wearable device includes a first acquisition module 1, a second acquisition module 2, a first digital filter processing module 3, a second digital filter processing module 4, a first light source selection module 5, and a second light source selection.
  • the second acquisition module 2 includes a photoelectric conversion unit 201, an amplification unit 202, and an analog-to-digital conversion unit 203.
  • the wearable device includes at least two sets of light sources 200.
  • the photoelectric conversion unit 201 includes a photosensor.
  • the amplification unit 202 includes an amplifier.
  • the analog to digital conversion unit 203 includes an analog to digital converter.
  • First digital filtering The processing module 3 comprises a digital filter and the second digital filtering processing module 4 comprises a digital filter.
  • the first acquisition module 1 includes an accelerometer.
  • the photoelectric conversion unit 201 is configured to receive a first optical signal emitted by a group of starting light sources reflected by the human body.
  • the first digital filter processing module 3 is configured to perform digital filtering processing on the first optical signal to obtain a first photoelectric signal including a DC component and an AC component, and transmit the first photoelectric signal to the first light source selection module 5.
  • the first light source selection module 5 is configured to select a group of light sources from at least two sets of light sources according to a ratio of a direct current component to an alternating current component and a first preset rule, and use the selected set of light sources to measure a moving heart rate, each set of light sources. There is a different distance from the photoelectric conversion unit 201.
  • each group of light sources corresponds to a value within a range.
  • a set of light sources corresponding to the range is selected. Specifically, it is assumed that there are two sets of light sources, one set is a close distance light source and one set is a long distance light source.
  • the proximity light source is selected, otherwise, the remote light source is selected.
  • the photoelectric conversion unit 201 is configured to receive a first optical signal emitted by a group of starting light sources reflected by the human body.
  • the first digital filter processing module 3 is configured to perform digital filtering processing on the first optical signal to obtain a first photoelectric signal including a direct current component and an alternating current component, and transmit the first photoelectric signal to the first peak detecting module 9.
  • the first peak detecting module 9 is configured to receive the first photoelectric signal sent by the first digital filtering processing module 3 and perform peak detection on the first photoelectric signal to obtain a first spectral peak.
  • the adjusting module 8 is configured to adjust the brightness of the starting light source according to the first spectral peak value and the second preset rule, and adjust the amplification factor of the amplifying unit 202 according to the first spectral peak value and the third preset rule.
  • the second light source selection module 6 is further configured to select a set of light sources among the at least two sets of light sources according to the brightness, the magnification, and the fourth preset rule, and use the selected set of light sources to measure the exercise heart rate, and each set of the light source and the photoelectric
  • the conversion units 201 have different distances between them.
  • the second preset rule in this embodiment is: the first spectrum peak negative feedback adjusts the starting light source brightness, that is, if the first spectrum peak is large, the brightness of the starting light source is decreased to reduce the subsequent The first spectral peak, if the first spectral peak is small, enhances the brightness of the starting source to increase the subsequent first spectral peak.
  • the third preset rule in this embodiment is: the amplification factor of the first spectrum peak negative feedback adjustment amplifying unit 202, that is, if the first spectrum peak is large, the amplification factor of the amplifying unit 202 is decreased to reduce The small subsequent first spectral peak, if the first spectral peak is small, increases the amplification factor of the amplification unit 202 to increase the subsequent first spectral peak.
  • each group of light sources corresponds to a brightness adjustment value within a range and corresponds to an adjustment value of a magnification within a range.
  • there are two sets of light sources one set is a close distance light source and one set is a long distance light source.
  • the close distance light source is selected; otherwise, the long distance light source is selected.
  • the photoelectric conversion unit 201 is configured to receive a first optical signal emitted by a group of starting light sources reflected by the human body.
  • the first digital filter processing module 3 is configured to perform digital filtering processing on the first optical signal to obtain a first photoelectric signal including a direct current component and an alternating current component, and transmit the first photoelectric signal to the first peak detecting module 9 and the first light source.
  • Select module 5 The first light source selection module 5 sends the ratio of the direct current component to the alternating current component to the decision module 7.
  • the first peak detecting module 9 is configured to receive the first photoelectric signal sent by the first digital filtering processing module 3 and perform peak detection on the first photoelectric signal to obtain a first spectral peak.
  • the adjusting module 8 is configured to adjust the brightness of the starting light source according to the first spectral peak value and the second preset rule, and adjust the amplification factor of the amplifying unit 202 according to the first spectral peak value and the third preset rule.
  • the adjustment module 8 sends the brightness of the initial light source adjustment and the multiple adjusted by the amplification unit 202 to the decision module 7 via the second light source selection module 6.
  • the first acquisition module 1 is configured to collect a motion signal of the human body and transmit the motion signal to the second digital filter processing module 4.
  • the second digital filter processing module 4 is configured to perform digital filtering processing on the motion signal and transmit the processed operation signal to the second peak detecting module 10.
  • the second peak detecting module 10 is configured to perform peak detection on the digitally filtered motion signal to obtain a second spectral peak.
  • the second peak detection module 10 transmits the second spectral peak to the decision module 7.
  • the decision module 7 is further configured to select at least two groups of light sources according to a ratio of a direct current component to an alternating current component, a brightness adjusted according to a set of starting light sources, an adjustment multiple of the amplifying unit 202, a second spectral peak value, and a fifth preset rule.
  • a set of light sources using a selected set of light sources to measure the rate of exercise, each set of light sources having a different distance from the photoelectric conversion unit 201.
  • each group of light sources corresponds to one range.
  • the ratio of the direct current component to the alternating current component has a first weight
  • the brightness of the initial light source adjustment has a second weight
  • the adjustment multiple of the amplification unit 202 has a third weight
  • the second spectral peak has a fourth weight. According to the ratio of the direct current component to the alternating current component * the first weight + the brightness of the light source adjustment * the second weight + the adjustment multiple * the third weight + the second spectrum peak * the fourth weight is within a certain range, then the range is selected A corresponding set of light sources.
  • the heart rate is measured under a selected set of light sources.
  • the second collecting module 2 is configured to collect a heart rate signal by using the optical signals emitted by the selected set of light sources.
  • the first digital filter processing module 3 is configured to perform digital filtering processing on the heart rate signal and transmit the processed heart rate signal to the first peak detecting module 9.
  • the first peak detecting module 9 is configured to perform peak detection on the digitally filtered heart rate signal to obtain a heart rate frequency and a third spectrum peak.
  • the photoelectric conversion unit 201 is configured to receive an optical signal emitted by a selected group of light sources reflected by the human body, and convert the optical signal into a voltage signal.
  • the amplifying unit 202 is configured to perform a filtering process and an amplification process on the voltage signal to obtain an amplified signal.
  • the analog to digital conversion unit 203 is configured to convert the amplified signal into a digital signal.
  • the first digital filter processing module 3 is configured to perform digital filtering processing on the digital signal, and perform peak detection to obtain a heart rate frequency and a third spectrum peak.
  • the adjusting module 8 is configured to adjust the brightness of the excitation light source according to the third spectral peak value and the second preset rule, and adjust the amplification factor of the voltage signal according to the third spectral peak value and the third preset rule.
  • the first acquisition module 1 is configured to collect a motion signal of the human body and transmit the motion signal to the second digital filter processing module 4.
  • the second acquisition module 1 includes an accelerometer for collecting acceleration when the human body moves, that is, a motion signal
  • a second digital filter processing module 4 for performing digital filtering processing on the motion signal and processing
  • the motion signal is transmitted to the second peak detecting module 10.
  • the second peak detecting module 10 is configured to perform peak detection on the digitally filtered motion signal to obtain a motion frequency and a fourth spectrum peak.
  • the heart rate weight calculation module 12 is configured to calculate the heart rate weight C1 by using the sixth preset rule by the third spectrum peak.
  • the heart rate weight C 1 calculated by the sixth preset rule is proportional to the third spectrum peak value, that is, the larger the obtained third spectrum peak value is, the larger the heart rate weight C 1 is obtained.
  • the motion weight calculation module 13 uses The motion weight C2 is calculated by the seventh preset rule at the fourth spectral peak.
  • the motion weight C 2 calculated by the seventh preset rule is proportional to the fourth spectrum peak, that is, the larger the obtained fourth spectrum peak is, the larger the obtained motion weight C 2 is)
  • the first probability density processing module 14 is configured to perform frequency distribution processing on the heart rate frequency acquired in the preset time period in a preset heart rate interval including the plurality of sub heart rate intervals B i to obtain a heart rate frequency of each of the sub heart rate intervals B i Probability density P(Q i ).
  • the obtaining module 11 is configured to acquire the first quantity Q i of the heart rate frequency and the occurrence frequency of the heart rate occurring in each of the sub heart rate intervals B i within the preset time period.
  • the second quantity G i The first probability density processing module 14 calculates the heart rate frequency probability density P(Q i ) of each of the sub heart rate intervals B i according to formula (2):
  • the second probability density processing module 15 performs frequency distribution processing on the motion frequency acquired in the preset time period in the preset heart rate interval to obtain the motion frequency probability density P(G i ) of each of the sub heart rate intervals B i .
  • the second probability density processing module 15 is configured to calculate the motion frequency probability density P(G i ) of each of the sub heart rate intervals B i according to formula (3):
  • the average value calculation module 16 is configured to calculate an average value of all heart rate frequencies in each of the sub heart rate intervals B i
  • the heart rate calculation module 17 calculates the heart rate HR according to the formula (1):
  • the display module 18 is configured to output a display heart rate HR.
  • the invention selects a set of suitable light sources by setting a plurality of sets of light sources and using a set of starting light source measurements to perform heart rate measurement under the selected light source, so that the measurement result is more accurate. If the body to be measured is in a relatively static state, the noise is weak. At this time, if a group of light sources that are closer to the photoelectric sensor are selected, and the light signals emitted by the group of light sources are directly transmitted to the photoelectric sensor through the human body reflection, the light loss of the group of light sources is less and the optical signal is stronger. The required brightness of the group of light sources is low, achieving the technical effect of saving the energy consumption of the wearable device. If the body to be measured is in motion, noise Strong sound.
  • the light signal emitted by the group of light sources needs to be reflected by the body tissue to be transmitted to the photoelectric sensor, and the light signal received by the photoelectric sensor carries blood. If the light signal has more light, the signal-to-noise ratio of the optical signal is relatively high and the influence of noise is suppressed. Therefore, selecting a group of light sources farther from the photoelectric sensor to measure the heart rate under motion causes the measured heart rate to be more Precision.
  • Figure 2 illustrates another embodiment of the wearable device of the present invention.
  • the wearable device includes a first acquisition module 1, a second acquisition module 2, a first digital filter processing module 3, a second digital filter processing module 4, a first light source selection module 5, and a second light source selection.
  • the second acquisition module 2 includes a photoelectric conversion unit 201, an amplification unit 202, and an analog-to-digital conversion unit 203.
  • the wearable device includes at least two sets of light sources 200.
  • the photoelectric conversion unit 201 includes a photosensor.
  • the amplification unit 202 includes an amplifier.
  • the analog to digital conversion unit 203 includes an analog to digital converter.
  • the first digital filter processing module 3 includes a digital filter, and the second digital filter processing module 4 includes a digital filter.
  • the first acquisition module 1 includes an accelerometer.
  • the photoelectric conversion unit 201 is configured to receive a first optical signal emitted by a group of starting light sources reflected by the human body.
  • the first digital filter processing module 3 is configured to perform digital filtering processing on the first optical signal to obtain a first photoelectric signal including a DC component and an AC component, and transmit the first photoelectric signal to the first light source selection module 5.
  • the first light source selection module 5 is configured to select a group of light sources from at least two sets of light sources according to a ratio of a direct current component to an alternating current component and a first preset rule, and use the selected set of light sources to measure a moving heart rate, each set of light sources. There is a different distance from the photoelectric conversion unit 201.
  • each group of light sources corresponds to a value within a range.
  • a set of light sources corresponding to the range is selected. Specifically, it is assumed that there are two sets of light sources, one set is a close distance light source and one set is a long distance light source.
  • the proximity light source is selected, otherwise, the remote light source is selected.
  • the photoelectric conversion unit 201 is configured to receive a first optical signal emitted by a group of starting light sources reflected by the human body.
  • the first digital filter processing module 3 is configured to perform digital filtering processing on the first optical signal to obtain a first photoelectric signal including a direct current component and an alternating current component, and transmit the first photoelectric signal to the first peak detecting module 9.
  • the first peak detecting module 9 is configured to receive the first photoelectric signal sent by the first digital filtering processing module 3 and perform peak detection on the first photoelectric signal to obtain a first spectral peak.
  • the adjusting module 8 is configured to adjust the brightness of the starting light source according to the first spectral peak value and the second preset rule, and adjust the amplification factor of the amplifying unit 202 according to the first spectral peak value and the third preset rule.
  • the second light source selection module 6 is further configured to select a set of light sources among the at least two sets of light sources according to the brightness, the magnification, and the fourth preset rule, and use the selected set of light sources to measure the exercise heart rate, and each set of the light source and the photoelectric
  • the conversion units 201 have different distances between them.
  • the second preset rule in this embodiment is: the first spectrum peak negative feedback adjusts the starting light source brightness, that is, if the first spectrum peak is large, the brightness of the starting light source is decreased to reduce the subsequent The first spectral peak, if the first spectral peak is small, enhances the brightness of the starting source to increase the subsequent first spectral peak.
  • the third preset rule in this embodiment is: the amplification factor of the first spectrum peak negative feedback adjustment amplifying unit 202, that is, if the first spectrum peak is large, the amplification factor of the amplifying unit 202 is decreased to reduce The small subsequent first spectral peak, if the first spectral peak is small, increases the amplification factor of the amplification unit 202 to increase the subsequent first spectral peak.
  • each group of light sources corresponds to a brightness adjustment value within a range and corresponds to an adjustment value of a magnification within a range.
  • there are two sets of light sources one set is a close distance light source and one set is a long distance light source.
  • the close distance light source is selected; otherwise, the long distance light source is selected.
  • the photoelectric conversion unit 201 is configured to receive a first optical signal emitted by a group of starting light sources reflected by the human body.
  • the first digital filter processing module 3 is configured to perform digital filtering processing on the first optical signal to obtain a first photoelectric signal including a direct current component and an alternating current component, and transmit the first photoelectric signal to the first peak detecting module 9 and the first light source.
  • Select module 5 The first light source selection module 5 sends the ratio of the direct current component to the alternating current component to the decision module 7.
  • the first peak detecting module 9 is configured to receive the first photoelectric signal sent by the first digital filtering processing module 3 Signaling and peak detection of the first optoelectronic signal results in a first spectral peak.
  • the adjusting module 8 is configured to adjust the brightness of the starting light source according to the first spectral peak value and the second preset rule, and adjust the amplification factor of the amplifying unit 202 according to the first spectral peak value and the third preset rule.
  • the adjustment module 8 sends the brightness of the initial light source adjustment and the multiple adjusted by the amplification unit 202 to the decision module 7 via the second light source selection module 6.
  • the first acquisition module 1 is configured to collect a motion signal of the human body and transmit the motion signal to the second digital filter processing module 4.
  • the second digital filter processing module 4 is configured to perform digital filtering processing on the motion signal and transmit the processed operation signal to the second peak detecting module 10.
  • the second peak detecting module 10 is configured to perform peak detection on the digitally filtered motion signal to obtain a second spectral peak.
  • the second peak detection module 10 transmits the second spectral peak to the decision module 7.
  • the decision module 7 is further configured to select at least two groups of light sources according to a ratio of a direct current component to an alternating current component, a brightness adjusted according to a set of starting light sources, an adjustment multiple of the amplifying unit 202, a second spectral peak value, and a fifth preset rule.
  • a set of light sources using a selected set of light sources to measure the rate of exercise, each set of light sources having a different distance from the photoelectric conversion unit 201.
  • each group of light sources corresponds to a value within a range.
  • the ratio of the direct current component to the alternating current component has a first weight
  • the brightness of the initial light source adjustment has a second weight
  • the adjustment multiple of the amplification unit 202 has a third weight
  • the second spectral peak has a fourth weight. According to the ratio of the direct current component to the alternating current component * the first weight + the brightness of the light source adjustment * the second weight + the adjustment multiple * the third weight + the second spectrum peak * the fourth weight is within a certain range, then the range is selected A corresponding set of light sources.
  • the heart rate is measured under a selected set of light sources.
  • the second collecting module 2 is configured to collect a heart rate signal by using the optical signals emitted by the selected set of light sources.
  • the first digital filter processing module 3 is configured to perform digital filtering processing on the heart rate signal and transmit the processed heart rate signal to the first peak detecting module 9.
  • the first peak detecting module 9 is configured to perform peak detection on the digitally filtered heart rate signal to obtain a heart rate frequency and a third spectrum peak.
  • the photoelectric conversion unit 201 is configured to receive an optical signal emitted by a selected group of light sources reflected by the human body, and convert the optical signal into a voltage signal.
  • the amplifying unit 202 is configured to perform a filtering process and an amplification process on the voltage signal to obtain an amplified signal.
  • the analog to digital conversion unit 203 is configured to convert the amplified signal into a digital signal.
  • the first digital filter processing module 3 is configured to perform digital filtering processing on the digital signal, and perform peak detection to obtain a heart rate frequency and a third spectrum peak.
  • Adjustment mode Block 8 is configured to adjust the brightness of the excitation light source according to the third spectral peak value and the second preset rule, and adjust the amplification factor of the voltage signal according to the third spectral peak value and the third preset rule.
  • the first acquisition module 1 is configured to collect a motion signal of the human body and transmit the motion signal to the second digital filter processing module 4.
  • the second acquisition module 1 includes an accelerometer for collecting acceleration when the human body moves, that is, a motion signal
  • a second digital filter processing module 4 for performing digital filtering processing on the motion signal and processing
  • the motion signal is transmitted to the second peak detecting module 10.
  • the second peak detecting module 10 is configured to perform peak detection on the digitally filtered motion signal to obtain a motion frequency and a fourth spectrum peak.
  • the heart rate weight calculation module 12 is configured to calculate the heart rate weight C1 by using the sixth preset rule by the third spectrum peak.
  • the heart rate weight C 1 calculated by the sixth preset rule is proportional to the third spectrum peak value, that is, the larger the obtained third spectrum peak value is, the larger the heart rate weight C 1 is obtained.
  • the motion weight calculation module 13 uses The motion weight C2 is calculated by the seventh preset rule at the fourth spectral peak.
  • the motion weight C 2 calculated by the seventh preset rule is proportional to the fourth spectrum peak, that is, the larger the obtained fourth spectrum peak is, the larger the obtained motion weight C 2 is)
  • the first probability density processing module 14 is configured to perform frequency distribution processing on the heart rate frequency acquired in the preset time period in a preset heart rate interval including the plurality of sub heart rate intervals B i to obtain a heart rate frequency of each of the sub heart rate intervals B i Probability density P(Q i ).
  • the obtaining module 11 is configured to acquire the first quantity Q i of the heart rate frequency and the occurrence frequency of the heart rate occurring in each of the sub heart rate intervals B i within the preset time period.
  • the second quantity G i The first probability density processing module 14 calculates the heart rate frequency probability density P(Q i ) of each of the sub heart rate intervals B i according to formula (2):
  • the second probability density processing module 15 performs frequency distribution processing on the motion frequency acquired in the preset time period in the preset heart rate interval to obtain the motion frequency probability density P(G i ) of each of the sub heart rate intervals B i .
  • the second probability density processing module 15 is configured to calculate the motion frequency probability density P(G i ) of each of the sub heart rate intervals B i according to formula (3):
  • the average value calculation module 16 is configured to calculate an average value of all heart rate frequencies in each of the sub heart rate intervals B i
  • the heart rate calculation module 17 calculates the heart rate HR according to the formula (1):
  • the output module 18 is configured to send the heart rate HR to the outside.
  • Figure 3 illustrates another embodiment of the wearable device of the present invention.
  • the wearable device includes a first acquisition module 1, a second acquisition module 2, a first digital filter processing module 3, a second digital filter processing module 4, a first light source selection module 5, and a second light source selection.
  • the second acquisition module 2 includes a photoelectric conversion unit 201, an amplification unit 202, and an analog-to-digital conversion unit 203.
  • the wearable device includes at least two sets of light sources 200.
  • the photoelectric conversion unit 201 includes a photosensor.
  • the amplification unit 202 includes an amplifier.
  • the analog to digital conversion unit 203 includes an analog to digital converter.
  • the first digital filter processing module 3 includes a digital filter, and the second digital filter processing module 4 includes a digital filter.
  • the first acquisition module 1 includes an accelerometer.
  • the photoelectric conversion unit 201 is configured to receive a first optical signal emitted by a group of starting light sources reflected by the human body.
  • the first digital filter processing module 3 is configured to perform digital filtering processing on the first optical signal to obtain a first photoelectric signal including a DC component and an AC component, and transmit the first photoelectric signal to the first light source selection module 5.
  • the first light source selection module 5 is configured to select a group of light sources from at least two sets of light sources according to a ratio of a direct current component to an alternating current component and a first preset rule, and use the selected set of light sources to measure a moving heart rate, each set of light sources. There is a different distance from the photoelectric conversion unit 201.
  • each group of light sources corresponds to a value within a range.
  • the ratio of the direct current component to the alternating current component falls within a certain range, then the A set of light sources corresponding to the range.
  • the ratio of the DC component to the AC component is lower than a certain preset value, the proximity light source is selected, otherwise, the remote light source is selected.
  • the photoelectric conversion unit 201 is configured to receive a first optical signal emitted by a group of starting light sources reflected by the human body.
  • the first digital filter processing module 3 is configured to perform digital filtering processing on the first optical signal to obtain a first photoelectric signal including a direct current component and an alternating current component, and transmit the first photoelectric signal to the first peak detecting module 9.
  • the first peak detecting module 9 is configured to receive the first photoelectric signal sent by the first digital filtering processing module 3 and perform peak detection on the first photoelectric signal to obtain a first spectral peak.
  • the adjusting module 8 is configured to adjust the brightness of the starting light source according to the first spectral peak value and the second preset rule, and adjust the amplification factor of the amplifying unit 202 according to the first spectral peak value and the third preset rule.
  • the second light source selection module 6 is further configured to select a set of light sources among the at least two sets of light sources according to the brightness, the magnification, and the fourth preset rule, and use the selected set of light sources to measure the exercise heart rate, and each set of the light source and the photoelectric
  • the conversion units 201 have different distances between them.
  • the second preset rule in this embodiment is: the first spectrum peak negative feedback adjusts the starting light source brightness, that is, if the first spectrum peak is large, the brightness of the starting light source is decreased to reduce the subsequent The first spectral peak, if the first spectral peak is small, enhances the brightness of the starting source to increase the subsequent first spectral peak.
  • the third preset rule in this embodiment is: the amplification factor of the first spectrum peak negative feedback adjustment amplifying unit 202, that is, if the first spectrum peak is large, the amplification factor of the amplifying unit 202 is decreased to reduce The small subsequent first spectral peak, if the first spectral peak is small, increases the amplification factor of the amplification unit 202 to increase the subsequent first spectral peak.
  • each group of light sources corresponds to a brightness adjustment value within a range and corresponds to an adjustment value of a magnification within a range.
  • there are two sets of light sources one set is a close distance light source and one set is a long distance light source.
  • the close distance light source is selected; otherwise, the long distance light source is selected.
  • the photoelectric conversion unit 201 is configured to receive a first optical signal emitted by a group of starting light sources reflected by the human body.
  • the first digital filter processing module 3 is configured to perform digital filtering on the first optical signal to obtain a first photoelectric signal including a DC component and an AC component, and
  • the first photoelectric signal is transmitted to the first peak detecting module 9 and the first light source selecting module 5.
  • the first light source selection module 5 sends the ratio of the direct current component to the alternating current component to the decision module 7.
  • the first peak detecting module 9 is configured to receive the first photoelectric signal sent by the first digital filtering processing module 3 and perform peak detection on the first photoelectric signal to obtain a first spectral peak.
  • the adjusting module 8 is configured to adjust the brightness of the starting light source according to the first spectral peak value and the second preset rule, and adjust the amplification factor of the amplifying unit 202 according to the first spectral peak value and the third preset rule.
  • the adjustment module 8 sends the brightness of the initial light source adjustment and the multiple adjusted by the amplification unit 202 to the decision module 7 via the second light source selection module 6.
  • the first acquisition module 1 is configured to collect a motion signal of the human body and transmit the motion signal to the second digital filter processing module 4.
  • the second digital filter processing module 4 is configured to perform digital filtering processing on the motion signal and transmit the processed operation signal to the second peak detecting module 10.
  • the second peak detecting module 10 is configured to perform peak detection on the digitally filtered motion signal to obtain a second spectral peak.
  • the second peak detection module 10 transmits the second spectral peak to the decision module 7.
  • the decision module 7 is further configured to select at least two groups of light sources according to a ratio of a direct current component to an alternating current component, a brightness adjusted according to a set of starting light sources, an adjustment multiple of the amplifying unit 202, a second spectral peak value, and a fifth preset rule.
  • a set of light sources using a selected set of light sources to measure the rate of exercise, each set of light sources having a different distance from the photoelectric conversion unit 201.
  • each group of light sources corresponds to a value within a range.
  • the ratio of the direct current component to the alternating current component has a first weight
  • the brightness of the initial light source adjustment has a second weight
  • the adjustment multiple of the amplification unit 202 has a third weight
  • the second spectral peak has a fourth weight. According to the ratio of the direct current component to the alternating current component * the first weight + the brightness of the light source adjustment * the second weight + the adjustment multiple * the third weight + the second spectrum peak * the fourth weight is within a certain range, then the range is selected A corresponding set of light sources.
  • the heart rate is measured under a selected set of light sources.
  • the second collecting module 2 is configured to collect a heart rate signal by using the optical signals emitted by the selected set of light sources.
  • the first digital filter processing module 3 is configured to perform digital filtering processing on the heart rate signal and transmit the processed heart rate signal to the first peak detecting module 9.
  • the first peak detecting module 9 is configured to perform peak detection on the digitally filtered heart rate signal to obtain a heart rate frequency and a third spectrum peak.
  • the photoelectric conversion unit 201 is configured to receive an optical signal emitted by a selected group of light sources reflected by the human body, and convert the optical signal into a voltage signal.
  • Amplification unit 202 configured to perform a filtering process and an amplification process on the voltage signal to obtain an amplified signal.
  • the analog to digital conversion unit 203 is configured to convert the amplified signal into a digital signal.
  • the first digital filter processing module 3 is configured to perform digital filtering processing on the digital signal, and perform peak detection to obtain a heart rate frequency and a third spectrum peak.
  • the adjusting module 8 is configured to adjust the brightness of the excitation light source according to the third spectral peak value and the second preset rule, and adjust the amplification factor of the voltage signal according to the third spectral peak value and the third preset rule.
  • the first acquisition module 1 is configured to collect a motion signal of the human body and transmit the motion signal to the second digital filter processing module 4.
  • the second acquisition module 1 includes an accelerometer for collecting acceleration when the human body moves, that is, a motion signal
  • a second digital filter processing module 4 for performing digital filtering processing on the motion signal and processing
  • the motion signal is transmitted to the second peak detecting module 10.
  • the second peak detecting module 10 is configured to perform peak detection on the digitally filtered motion signal to obtain a motion frequency and a fourth spectrum peak.
  • the heart rate weight calculation module 12 is configured to calculate the heart rate weight C1 by using the sixth preset rule by the third spectrum peak.
  • the heart rate weight C 1 calculated by the sixth preset rule is proportional to the third spectrum peak value, that is, the larger the obtained third spectrum peak value is, the larger the heart rate weight C 1 is obtained.
  • the motion weight calculation module 13 uses The motion weight C2 is calculated by the seventh preset rule at the fourth spectral peak.
  • the motion weight C 2 calculated by the seventh preset rule is proportional to the fourth spectrum peak, that is, the larger the obtained fourth spectrum peak is, the larger the obtained motion weight C 2 is)
  • the first probability density processing module 14 is configured to perform frequency distribution processing on the heart rate frequency acquired in the preset time period in a preset heart rate interval including the plurality of sub heart rate intervals B i to obtain a heart rate frequency of each of the sub heart rate intervals B i Probability density P(Q i ).
  • the obtaining module 11 is configured to acquire the first quantity Q i of the heart rate frequency and the occurrence frequency of the heart rate occurring in each of the sub heart rate intervals B i within the preset time period.
  • the second quantity G i The first probability density processing module 14 calculates the heart rate frequency probability density P(Q i ) of each of the sub heart rate intervals B i according to formula (2):
  • the second probability density processing module 15 performs frequency distribution processing on the motion frequency acquired in the preset time period in the preset heart rate region to obtain the motion frequency probability density P(G i ) of each of the sub heart rate intervals B i .
  • the second probability density processing module 15 is configured to calculate the motion frequency probability density P(G i ) of each of the sub heart rate intervals B i according to formula (3):
  • the average value calculation module 16 is configured to calculate an average value of all heart rate frequencies in each of the sub heart rate intervals B i
  • the heart rate calculation module 17 calculates the heart rate HR according to the formula (1):
  • the display module 18 is configured to output a display heart rate HR, and at the same time, the output module 19 is configured to send the heart rate HR to the outside.
  • the heart rate measurement method based on multiple sets of light sources includes the following steps:
  • Step S1 Receive a first optical signal emitted by a group of starting light sources reflected by the human body.
  • step S2 the first optical signal is subjected to digital filtering processing to obtain a first photoelectric signal including a direct current component and an alternating current component.
  • Step S3 selecting a group of light sources according to a ratio of a direct current component to an alternating current component and a first preset rule, and using a selected set of light sources to measure a moving heart rate, each set of light sources and a light source receiving the human body reflection
  • the components of the emitted optical signal have different distances between them.
  • step S4 the heart rate signal is collected by using the second optical signal emitted by the selected set of light sources, and after the heart rate signal is digitally filtered, peak detection is performed to obtain the heart rate frequency and the third spectrum peak.
  • step S4 specifically includes:
  • the voltage signal is subjected to filtering processing and amplification processing to obtain an amplified signal. Convert the amplified signal to a digital signal.
  • the digital signal is subjected to digital filtering to obtain a second photoelectric signal including a direct current component and an alternating current component.
  • the second photo-electric signal is subjected to peak detection to obtain a heart rate frequency and a third spectrum peak. Adjusting the brightness of the excitation light source according to the third spectral peak value and the second preset rule, and adjusting the amplification factor of the voltage signal according to the third spectral peak value and the third preset rule.
  • step S5 the motion signal of the human body is collected, and after the motion signal is digitally filtered, the peak detection is performed to obtain the motion frequency and the fourth spectrum peak.
  • step S6 the third spectrum peak is calculated by the sixth preset rule to obtain the heart rate weight C1, and the fourth spectrum peak is calculated by the seventh preset rule to obtain the motion weight C2.
  • Step S7 Acquire a first quantity Q i of the heart rate frequency and a second quantity G i of the occurring motion frequency appearing in each of the sub heart rate intervals B i within the preset heart rate interval within the preset time period.
  • step S8 the heart rate frequency probability density P(Q i ) of each sub heart rate interval B i is calculated according to the heart rate frequency probability density calculation formula. among them,
  • the heart rate frequency probability density is calculated as:
  • step S9 the motion frequency probability density P(G i ) of each sub-heart rate interval B i is calculated according to the motion frequency probability density calculation formula.
  • the calculation formula of the motion frequency probability density is:
  • Step S10 calculating an average value of all heart rate frequencies in each of the sub heart rate intervals B i
  • step S11 the heart rate HR is calculated according to the heart rate calculation formula.
  • the heart rate calculation formula is:
  • step S12 the output heart rate HR and/or the transmission heart rate HR are output to the outside.
  • FIG. 5 illustrates another embodiment of a heart rate measurement method based on multiple sets of light sources of the present invention.
  • the heart rate measurement method based on multiple sets of light sources includes the following steps:
  • Step S20 receiving a first optical signal emitted by a group of starting light sources reflected by the human body.
  • Step S21 the first optical signal is subjected to digital filtering processing to obtain a first photoelectric signal including a direct current component and an alternating current component.
  • Step S22 the first photoelectric signal performs peak detection to obtain a first spectral peak, and adjusts the brightness of the starting light source according to the first spectral peak and the second preset rule, and according to the first spectral peak and the third preset
  • the rule adjusts the magnification of the magnification unit.
  • Step S23 selecting a set of light sources among the at least two sets of light sources according to the brightness, the magnification, and the fourth preset rule, and using the selected set of light sources to measure the exercise heart rate, each set of light sources and the light source receiving the human body reflection are emitted. There are different distances between the components of the optical signal.
  • Step S24 The heart rate signal is collected by using the second optical signal emitted by the selected set of light sources, and after the heart rate signal is digitally filtered, peak detection is performed to obtain a heart rate frequency and a third spectrum peak.
  • step S24 specifically includes:
  • the voltage signal is subjected to filtering processing and amplification processing to obtain an amplified signal. Convert the amplified signal to a digital signal.
  • the digital signal is subjected to digital filtering to obtain a second photoelectric signal including a direct current component and an alternating current component.
  • the second photo-electric signal is subjected to peak detection to obtain a heart rate frequency and a third spectrum peak. Adjusting the brightness of the excitation light source according to the third spectral peak value and the second preset rule, and adjusting the amplification factor of the voltage signal according to the third spectral peak value and the third preset rule.
  • step S25 the motion signal of the human body is collected, and after the motion signal is digitally filtered, peak detection is performed to obtain a motion frequency and a fourth spectrum peak.
  • Step S26 the third spectrum peak is calculated by the sixth preset rule to obtain the heart rate weight C1, and the fourth spectrum peak is calculated by the seventh preset rule to obtain the motion weight C2.
  • Step S27 Acquire a first quantity Q i of the heart rate frequency and a second quantity G i of the occurring motion frequency appearing in each of the sub heart rate intervals B i within the preset heart rate interval within the preset time period.
  • step S28 the heart rate frequency probability density P(Q i ) of each of the sub heart rate intervals B i is calculated according to the heart rate frequency probability density calculation formula. among them,
  • the heart rate frequency probability density is calculated as:
  • step S29 the motion frequency probability density P(G i ) of each sub-heart rate interval B i is calculated according to the motion frequency probability density calculation formula.
  • the calculation formula of the motion frequency probability density is:
  • Step S30 calculating an average value of all heart rate frequencies in each of the sub heart rate intervals B i
  • step S31 the heart rate HR is calculated according to the heart rate calculation formula.
  • the heart rate calculation formula is:
  • step S32 the output heart rate HR and/or the transmission heart rate HR are output to the outside.
  • FIG. 6 illustrates another embodiment of a heart rate measurement method based on multiple sets of light sources of the present invention.
  • the heart rate measurement method based on multiple sets of light sources includes the following steps:
  • Step S40 receiving a first optical signal emitted by a group of starting light sources reflected by the human body.
  • Step S41 the first optical signal is subjected to digital filtering processing to obtain a first photoelectric signal including a direct current component and an alternating current component.
  • Step S42 the first photoelectric signal performs peak detection to obtain a first spectral peak, and adjusts the brightness of the starting light source according to the first spectral peak and the second preset rule, and adjusts the amplifying unit according to the first spectral peak and the third preset rule.
  • step S43 the motion signal of the human body is collected, and after the motion signal is digitally filtered, peak detection is performed to obtain a second spectrum peak.
  • Step S44 selecting a group of light sources according to a ratio of a direct current component to an alternating current component, a brightness, a magnification, a second spectral peak, and a fifth preset rule, and using the selected set of light sources to measure the exercise heart rate.
  • Each set of light sources has a different distance from the component that receives the optical signal emitted by the light source reflected by the human body.
  • Step S45 The heart rate signal is collected by using the second optical signal emitted by the selected set of light sources, and after the heart rate signal is digitally filtered, peak detection is performed to obtain a heart rate frequency and a third spectrum peak.
  • step S45 specifically includes:
  • the voltage signal is subjected to filtering processing and amplification processing to obtain an amplified signal. Convert the amplified signal to a digital signal.
  • the digital signal is subjected to digital filtering to obtain a second photoelectric signal including a direct current component and an alternating current component.
  • the second photo-electric signal is subjected to peak detection to obtain a heart rate frequency and a third spectrum peak. Adjusting the brightness of the excitation light source according to the third spectral peak value and the second preset rule, and adjusting the amplification factor of the voltage signal according to the third spectral peak value and the third preset rule.
  • Step S46 collecting a motion signal of the human body, and performing a digital filtering process on the motion signal to perform a peak
  • the value detection yields the motion frequency and the fourth spectral peak.
  • Step S47 the third spectrum peak is calculated by the sixth preset rule to obtain the heart rate weight C1
  • the fourth spectrum peak is calculated by the seventh preset rule to obtain the motion weight C2.
  • Step S48 Acquire a first quantity Q i of the heart rate frequency and a second quantity G i of the occurring motion frequency appearing in each of the sub heart rate intervals B i within the preset heart rate interval within the preset time period.
  • step S49 the heart rate frequency probability density P(Q i ) of each of the sub heart rate intervals B i is calculated according to the heart rate frequency probability density calculation formula. among them,
  • the heart rate frequency probability density is calculated as:
  • step S50 the motion frequency probability density P(G i ) of each sub-heart rate interval B i is calculated according to the motion frequency probability density calculation formula.
  • the calculation formula of the motion frequency probability density is:
  • Step S51 calculating an average value of all heart rate frequencies in each of the sub-heart rate intervals B i
  • step S52 the heart rate HR is calculated according to the heart rate calculation formula.
  • the heart rate calculation formula is:
  • step S53 the output heart rate HR and/or the transmission heart rate HR are output to the outside.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Cardiology (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • Physiology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Signal Processing (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)

Abstract

La présente invention concerne un procédé de mesure de rythme cardiaque fondé sur une pluralité de groupes de sources de lumière (200) et un dispositif portatif pour mettre en œuvre le procédé. Le procédé de mesure de rythme cardiaque fondé sur la pluralité de groupes de sources de lumière (200), comprend les étapes suivantes : recevoir un premier signal optique émis par un groupe de sources de lumière (200) de départ réfléchies par un corps humain (S1) ; effectuer un traitement de filtrage numérique sur le premier signal optique afin d'obtenir un premier signal photoélectrique comprenant une composante de courant continu et une composante de courant alternatif (S2) ; et sélectionner un groupe de sources de lumière (200) à partir d'au moins deux groupes de sources de lumière (200) selon un rapport de la composante de courant continu à la composante de courant alternatif et une première règle prédéfinie, et mesurer un rythme cardiaque pendant le mouvement à l'aide du groupe sélectionné de sources de lumière (200). Il existe des distances différentes entre chaque groupe de sources de lumière (200) et un élément (201) destiné à recevoir le signal optique émis par la source de lumière (200) réfléchie par le corps humain (S3). Par l'agencement d'une pluralité de groupes de sources de lumière (200) et l'utilisation d'un résultat de mesure d'un groupe de sources de lumière (200) de départ pour sélectionner un groupe de sources de lumière (200) appropriées, un rythme cardiaque est mesuré sous les sources de lumière (200) sélectionnées, et un résultat de mesure est plus précis.
PCT/CN2015/099777 2015-12-30 2015-12-30 Procédé de mesure de rythme cardiaque fondé sur une pluralité de groupes de sources de lumière et dispositif portatif pour mettre en œuvre le procédé Ceased WO2017113152A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2015/099777 WO2017113152A1 (fr) 2015-12-30 2015-12-30 Procédé de mesure de rythme cardiaque fondé sur une pluralité de groupes de sources de lumière et dispositif portatif pour mettre en œuvre le procédé

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2015/099777 WO2017113152A1 (fr) 2015-12-30 2015-12-30 Procédé de mesure de rythme cardiaque fondé sur une pluralité de groupes de sources de lumière et dispositif portatif pour mettre en œuvre le procédé

Publications (1)

Publication Number Publication Date
WO2017113152A1 true WO2017113152A1 (fr) 2017-07-06

Family

ID=59224260

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2015/099777 Ceased WO2017113152A1 (fr) 2015-12-30 2015-12-30 Procédé de mesure de rythme cardiaque fondé sur une pluralité de groupes de sources de lumière et dispositif portatif pour mettre en œuvre le procédé

Country Status (1)

Country Link
WO (1) WO2017113152A1 (fr)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110477895A (zh) * 2019-07-24 2019-11-22 苏州国科医疗科技发展有限公司 基于血液容积波的多光源探测器连续心率测量方法
CN116584912A (zh) * 2022-12-30 2023-08-15 北京津发科技股份有限公司 一种多光源心率检测装置、方法和可穿戴设备
CN117376551A (zh) * 2023-12-04 2024-01-09 淘宝（中国）软件有限公司 视频编码加速方法及电子设备

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5285783A (en) * 1990-02-15 1994-02-15 Hewlett-Packard Company Sensor, apparatus and method for non-invasive measurement of oxygen saturation
JP2011212387A (ja) * 2010-04-02 2011-10-27 Seiko Epson Corp 測定装置
CN103549944A (zh) * 2013-10-30 2014-02-05 广州先越宝仑电子科技有限公司 一种心率测量方法及装置
CN104665802A (zh) * 2013-11-28 2015-06-03 腾讯科技（深圳）有限公司 脉搏测量装置、系统及测量脉搏的方法
AU2015101168A4 (en) * 2014-09-02 2015-10-22 Apple Inc. Multiple light paths architecture and obscuration methods for signal and perfusion index optimization

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5285783A (en) * 1990-02-15 1994-02-15 Hewlett-Packard Company Sensor, apparatus and method for non-invasive measurement of oxygen saturation
JP2011212387A (ja) * 2010-04-02 2011-10-27 Seiko Epson Corp 測定装置
CN103549944A (zh) * 2013-10-30 2014-02-05 广州先越宝仑电子科技有限公司 一种心率测量方法及装置
CN104665802A (zh) * 2013-11-28 2015-06-03 腾讯科技（深圳）有限公司 脉搏测量装置、系统及测量脉搏的方法
AU2015101168A4 (en) * 2014-09-02 2015-10-22 Apple Inc. Multiple light paths architecture and obscuration methods for signal and perfusion index optimization

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110477895A (zh) * 2019-07-24 2019-11-22 苏州国科医疗科技发展有限公司 基于血液容积波的多光源探测器连续心率测量方法
CN110477895B (zh) * 2019-07-24 2022-11-11 苏州国科医工科技发展(集团)有限公司 基于血液容积波的多光源探测器连续心率测量方法
CN116584912A (zh) * 2022-12-30 2023-08-15 北京津发科技股份有限公司 一种多光源心率检测装置、方法和可穿戴设备
WO2024140329A1 (fr) * 2022-12-30 2024-07-04 北京津发科技股份有限公司 Appareil et procédé de mesure de la fréquence cardiaque à sources de lumière multiples, et dispositif habitronique
CN116584912B (zh) * 2022-12-30 2025-06-24 北京津发科技股份有限公司 一种多光源心率检测装置、方法和可穿戴设备
CN117376551A (zh) * 2023-12-04 2024-01-09 淘宝（中国）软件有限公司 视频编码加速方法及电子设备
CN117376551B (zh) * 2023-12-04 2024-02-23 淘宝（中国）软件有限公司 视频编码加速方法及电子设备

Similar Documents

Publication Publication Date Title
RU2681362C2 (ru) Способ и устройство для оценивания риска падения пользователя
ES2650072T3 (es) Lector de sensor inalámbrico
RU2681582C2 (ru) Способ и устройство для идентификации переходов между положениями сидя и стоя
US9933452B2 (en) Sit-to-stand transfer detection
CN104545870B (zh) 用于心率检测的床垫和心率检测方法
CN104622444B (zh) 一种多光电传感模块腕式监测系统
WO2017028149A1 (fr) Procédé de mesure de fréquence cardiaque d'exercice, et dispositif vestimentaire associé
WO2017113152A1 (fr) Procédé de mesure de rythme cardiaque fondé sur une pluralité de groupes de sources de lumière et dispositif portatif pour mettre en œuvre le procédé
CN111481190A (zh) 基于双路ppg信号的稳健心率测量方法和装置
CN110927656B (zh) 电能表误差测量装置及其控制方法
CN103385711B (zh) 基于mems的人体生理参数检测装置
CN108366744A (zh) 用于检测生理参数的系统及方法
KR20210119343A (ko) 혈압 측정장치, 손목시계형 단말기 및 혈압 측정방법
CN106483051B (zh) 一种用于移动终端测定大气颗粒物浓度的装置及移动终端
KR102360073B1 (ko) 혈압 측정장치, 손목시계형 단말기 및 혈압 측정방법
CN106859626B (zh) 一种胎心检测设备
US20160331249A1 (en) Vital sign measurement system and vital sign measurement method thereof
JP4388356B2 (ja) 血流速度の測定装置および測定方法
TW201815350A (zh) 濃度測定裝置及濃度測定方法
CN1299639C (zh) 脉搏波测量装置
JP2013188481A (ja) 磁気共鳴イメージングにおける導電ループを用いたノイズ減少
CN110308463A (zh) 带数据采集卡的测风雷达系统及其工作方法
CN113727653B (zh) 胎儿超声处理单元
CN106805943B (zh) 基于分数阶微分方程的血糖数据处理方法及装置
JP7051786B2 (ja) 自律型フルスペクトル生体モニタリング

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 15911781

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 15911781

Country of ref document: EP

Kind code of ref document: A1