WO2017101195A1 - 检测心率的方法和装置 - Google Patents

检测心率的方法和装置 Download PDF

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Publication number
WO2017101195A1
WO2017101195A1 PCT/CN2016/071684 CN2016071684W WO2017101195A1 WO 2017101195 A1 WO2017101195 A1 WO 2017101195A1 CN 2016071684 W CN2016071684 W CN 2016071684W WO 2017101195 A1 WO2017101195 A1 WO 2017101195A1
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Prior art keywords
heart rate
detecting
waveform
user
signal
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PCT/CN2016/071684
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English (en)
French (fr)
Inventor
余旖
杨旺旺
李顺展
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深圳市汇顶科技股份有限公司
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Priority to EP16874261.7A priority Critical patent/EP3241492B1/en
Priority to KR1020177020676A priority patent/KR101983926B1/ko
Publication of WO2017101195A1 publication Critical patent/WO2017101195A1/zh
Priority to US15/655,878 priority patent/US20170311815A1/en

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
    • 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 pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording 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
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • 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
    • A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • 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 pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02416—Detecting, measuring or recording 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
    • A61B5/48—Other medical applications
    • A61B5/486—Bio-feedback
    • 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
    • A61B5/6843—Monitoring or controlling sensor contact pressure
    • 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
    • A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6898—Portable consumer electronic devices, e.g. music players, telephones, tablet computers
    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays

Definitions

  • the present invention relates to the field of electronic technologies, and in particular, to a method and apparatus for detecting a heart rate.
  • Heart rate as an important information reflecting a person's physical health has attracted people's attention. Medical heart rate detection is based on ECG (ElectroCardioGram) signals, which are complicated in measurement methods, usually require assistance from others, and the equipment is not easy to carry.
  • ECG ElectroCardioGram
  • smart devices such as wearable and handheld devices accept the user's finger to press the camera, and use a certain wavelength of light (such as 660nm-720nm red light) to illuminate the user's finger and collect PPG (PhotoPlethysmoGraphy, photoplethysmography) signal through the camera. Perform heart rate measurement.
  • PPG PhotoPlethysmoGraphy, photoplethysmography
  • the main object of the present invention is to provide a method and apparatus for detecting heart rate, which aims to solve the problem of low heart rate detection and high error rate.
  • the present invention provides a method for detecting a heart rate, comprising: collecting a heart rate signal; extracting a heart rate characteristic from a waveform corresponding to the heart rate signal; determining whether the heart rate characteristic meets a preset condition; When yes, the corresponding heart rate value is output according to the heart rate signal.
  • the foregoing method for detecting a heart rate determines whether the heart rate feature meets a preset condition, and specifically includes: determining whether the heart rate feature indicates that the user's finger completely presses a light source for detecting a heart rate.
  • the aforementioned method for detecting a heart rate the heart rate characteristic comprising a number of peaks and/or troughs in the waveform, and/or a peak-to-peak value of the waveform; determining whether the heart rate characteristic is a finger of the user Fully pressing the light source for detecting the heart rate specifically includes: determining whether the number of peaks and/or troughs in the waveform is in a preset first interval; and/or determining whether the peak-to-peak value of the waveform is Exceeded the preset threshold.
  • the foregoing method for detecting a heart rate further includes: when the determination result is no, generating first prompt information; the first prompt information is used to prompt the user to press a finger onto the light source.
  • the foregoing method for detecting a heart rate determines whether the heart rate feature meets a preset condition, and specifically includes: determining whether the heart rate feature indicates that the user is in a resting state.
  • the aforementioned method for detecting a heart rate comprising a slope of an upper wave edge and a slope of a lower wave edge of at least one of the waveforms, and/or at least two peaks of the waveform
  • the difference between the alternating AC components, wherein the alternating AC component of each peak is the average of the amplitudes between the two adjacent valleys; determining whether the heart rate characteristic indicates that the user is in a resting state, specifically including Determining whether an absolute value of a slope of the upper wave edge is greater than an absolute value of a slope of the lower wave edge; and/or determining whether a difference between AC AC components of the at least two peaks is at a preset number Second interval.
  • the foregoing method for detecting a heart rate further includes: when the determination result is no, generating second prompt information; and the second prompt information is used to prompt the user to maintain a resting state.
  • the present invention further provides a device for detecting a heart rate, comprising: a signal acquisition module, configured to collect a heart rate signal; and a feature extraction module, configured to extract a heart rate feature from a waveform corresponding to the heart rate signal; And an output module, configured to output a corresponding heart rate value according to the heart rate signal when the determination result is YES.
  • the determining module determines whether the heart rate feature indicates that the user's finger completely presses a light source for detecting a heart rate.
  • the heart rate characteristic includes a number of peaks and/or troughs in the waveform, and/or a peak-to-peak value of the waveform; and the determining module determines a peak in the waveform And/or the number of troughs is in a predetermined first interval; and/or determining whether the peak-to-peak value of the waveform exceeds a preset threshold.
  • the foregoing apparatus for detecting a heart rate further includes: a first prompt information generating module, configured to generate first prompt information when the determination result is no; the first prompt information is used to prompt the user to finger Pressed onto the light source.
  • the determining module determines whether the heart rate feature indicates that the user is in a resting state.
  • the heart rate characteristic comprises at least one of the waveforms The slope of the upper wave edge of a wave and the slope of the lower wave edge, and/or the difference between the alternating AC components of at least two of the waveforms, wherein the alternating AC component of each peak is adjacent to it Mean of the amplitude between the two troughs; the determining module determining whether an absolute value of a slope of the upper wave edge is greater than an absolute value of a slope of the lower wave edge; and/or determining the at least two peaks Whether the difference between the AC AC components is in the preset second interval.
  • the foregoing apparatus for detecting a heart rate further includes: a second prompt information generating module, configured to generate second prompt information when the determination result is no; the second prompt information is used to prompt the user to maintain the resting state .
  • the method and apparatus for detecting heart rate of the present invention have at least the following advantages:
  • the waveform-based features can determine whether the heart rate is currently detected under normal conditions, and the waveform of the heart rate signal under normal conditions. Stable, it does not need to detect whether it changes for a long time, so it is beneficial to quickly calculate the heart rate value, and calculate the heart rate value based on the heart rate signal under normal conditions, and obtain the correct heart rate value, which can avoid the occurrence of errors.
  • FIG. 1 is a flow chart of a method of detecting a heart rate in accordance with one embodiment of the present invention
  • 2A is a waveform diagram of a heart rate signal
  • 2B is a waveform diagram of a heart rate signal
  • FIG. 3 is a flow chart of a method of detecting a heart rate in accordance with one embodiment of the present invention.
  • Figure 5 is a waveform diagram of yet another heart rate signal
  • FIG. 6 is a flow chart of a method of detecting a heart rate in accordance with an embodiment of the present invention.
  • FIG. 7 is a block diagram of an apparatus for detecting a heart rate in accordance with one embodiment of the present invention.
  • FIG. 8 is a block diagram of an apparatus for detecting heart rate, in accordance with one embodiment of the present invention.
  • an embodiment of the present invention provides a method for detecting a heart rate, including:
  • a heart rate signal is acquired.
  • the manner of collecting the heart rate signal is not limited.
  • the PPG signal can be acquired by the camera of the mobile phone terminal to perform heart rate detection.
  • Step 120 Extract a heart rate feature from a waveform corresponding to the heart rate signal.
  • the type of the extracted heart rate feature is not limited, and any feature based on the waveform is applicable to the technical solution of the embodiment.
  • Step 130 Determine whether the heart rate feature meets a preset condition.
  • the preset condition may be any condition that conforms to the normal heart rate waveform.
  • the stable heart rate signal has two characteristics: 1) wave asymmetry: that is, up and down waves The edge (the upper and lower wave edges are divided as shown in Figure 2B), the absolute value of the corresponding slope is different; 2) the amplitude is stable: during the stable test time, the amplitude (ie, the peak-to-peak value) should not be abrupt within a certain range, so based on
  • the conditions of the two feature settings are all applicable to the technical solution of the embodiment.
  • the key to this embodiment is to analyze the characteristics of the heart rate signal to determine whether it is a heart rate signal under normal conditions.
  • Step 140 when the judgment result is YES, output a corresponding heart rate value according to the heart rate signal.
  • the existing bracelet needs to be in a resting state for at least 8 seconds to display the heart rate; and the smartphone that measures the heart rate by pressing the camera of the mobile phone usually has a large error in calculation results due to slight movement of the hand.
  • the technical solution of the embodiment based on the characteristics of the waveform, it can be determined whether the heart rate is detected under normal conditions. Under normal conditions, the waveform of the heart rate signal is stable, and it is not necessary to detect whether the waveform changes for a long time, so it is advantageous.
  • the heart rate value is quickly calculated, and the heart rate value is calculated based on the heart rate signal under normal conditions, and the correct heart rate value is obtained, which can avoid the occurrence of an error.
  • an embodiment of the present invention provides a method for detecting a heart rate, including:
  • step 310 a heart rate signal is acquired.
  • Step 320 extracting a heart rate feature from a waveform corresponding to the heart rate signal.
  • step 330 it is determined whether the heart rate feature indicates that the user's finger completely presses the light source for detecting the heart rate.
  • the light source is the flash of the mobile phone.
  • the ambient light signal is more obvious when the heart rate signal is collected.
  • the heart rate signal collected is as shown in Figure 4. This signal has the following characteristics: 1) The peak-to-peak value is less than perfect at this time. Peak-to-peak value when pressed; 2) The number of peaks and troughs searched during a fixed time is significantly larger than that of full compression. Therefore, in the present embodiment, it can be determined whether the signal is a signal generated when the user's finger does not fully press the light source.
  • Step 340 Generate first prompt information when the heart rate feature indicates that the user's finger does not completely press the light source; the first prompt information is used to prompt the user to press the finger onto the light source.
  • the heart rate signal is abnormal, the user is prompted in time to avoid outputting an incorrect heart rate value to the user.
  • Step 350 When the heart rate feature indicates that the user's finger completely presses the light source, it is determined whether the heart rate feature indicates that the user is in a resting state.
  • the collected heart rate signal is as shown in Fig. 5.
  • the characteristics of the signal are: 1) the waveform symmetry is good; 2) the irregular motion causes the peak between the wave and the wave. The peak value changes greatly, and the peak-to-peak value between the wave and the wave is more consistent under the regular motion. Therefore, in the present embodiment, it can be determined whether the signal is a signal generated by the user in a moving state.
  • Step 360 Generate a second prompt information when the heart rate feature indicates that the user is in a motion state; and the second prompt information is used to prompt the user to maintain the resting state.
  • the heart rate signal is abnormal, the user is prompted in time to avoid outputting an incorrect heart rate value to the user.
  • Step 370 When the heart rate feature indicates that the user is in a resting state, output a corresponding heart rate value according to the heart rate signal.
  • the quality of the heart rate signal is actually determined: by collecting the heart rate signal in real time, it is determined whether the finger is completely pressed, and if it is completely pressed, it is a normal heart rate signal or there is motion (calculation)
  • it is possible to distinguish the heart rate signals in different situations correctly distinguish whether the current signal reflects the heart rate of the person, and give the heart rate value or the prompt information, which can provide the feedback result quickly and accurately for the user.
  • an embodiment of the present invention provides a method for detecting a heart rate, including:
  • a heart rate signal is acquired.
  • normal heart rate is 30BPM ⁇ 220BPM, Beat Per Minite heart rate per minute).
  • Step 620 extracting a heart rate feature from a waveform corresponding to the heart rate signal.
  • the heart rate characteristic includes the number of peaks and troughs in the waveform, the peak-to-peak value of the waveform, the slope of the upper wave edge of at least one wave in the waveform, and the slope of the lower wave edge, or the AC of at least two peaks in the waveform (AC: Alternating) Current, the difference between the components, where the AC component of each peak is the mean of the amplitude between the two adjacent valleys.
  • the first interval is not limited, for example, searching for peaks and valleys in the waveform of the heart rate signal, and the number of peaks and troughs occurring within 3 seconds should be in the range of 1-11 (first interval), if In this range, it is determined that the light source is not pressed properly when it is not pressed or pressed.
  • Step 640 when the number of peaks and troughs in the waveform is not in the first interval, generating first prompt information; the first prompt information is used to prompt the user to press the finger onto the light source.
  • Step 650 When the number of peaks and troughs in the waveform is in the first interval, determine whether the peak-to-peak value of the waveform exceeds a preset threshold.
  • the preset threshold is not limited. For example, according to the influence of the ambient light on the heart rate signal, the amplitude difference corresponding to the peak and the trough is small, that is, if the maximum peak-to-peak value is less than the threshold 50 (threshold), then the determination is performed. The light source is not pressed properly when the light source is not pressed or pressed.
  • step 640 When the peak-to-peak value of the waveform does not exceed the preset threshold, returning to step 640 to generate first prompt information; the first prompt information is used to prompt the user to press the finger onto the light source.
  • Step 660 When the peak-to-peak value of the waveform exceeds a preset threshold, determine whether the absolute value of the slope of the upper wave edge is greater than the absolute value of the slope of the lower wave edge.
  • the slope of the upper and lower wave edges of each wave is calculated according to the searched peaks and valleys, and the absolute value of the slope of each wave on the wave rate signal is greater than the absolute value of the slope of the lower wave edge. If this condition is not met, the current signal is considered to be a heart rate signal with relative motion.
  • Step 670 When the absolute value of the slope of the upper wave edge is less than the absolute value of the slope of the lower wave edge, generating second prompt information; the second prompt information is used to prompt the user to maintain the resting state.
  • Step 680 When the absolute value of the slope of the upper wave edge is greater than the absolute value of the slope of the lower wave edge, it is determined whether the difference between the AC components of the at least two peaks is located in the preset second interval.
  • the AC component of the wave is measured by the mean value of the trough to the nearest peak, the peak to the amplitude of the adjacent trough, and if the maximum difference of the AC component is greater than the threshold 30, the current signal is considered to be a heart rate signal with relative motion. .
  • step 670 When the difference is not in the second interval, the process returns to step 670 to generate second prompt information; the second prompt information is used to prompt the user to maintain the resting state.
  • Step 690 When the difference is located in the second interval, output a corresponding heart rate value according to the heart rate signal. If the above condition is excluded, the current signal is considered to be a normal heart rate signal, and the heart rate value can be calculated and output.
  • the specific heart rate value calculation method can be: 60 ⁇ sampling rate/average interval between peaks.
  • the accurate heart rate result is usually given in 4-6 seconds; the heart rate error is 5 BPM compared with the ECG; the signal quality can be effectively judged, whether it is a normal heart rate signal, and The corresponding operation prompts.
  • an embodiment of the present invention provides an apparatus for detecting a heart rate, including:
  • the signal acquisition module 710 collects a heart rate signal.
  • the manner of collecting the heart rate signal is not limited.
  • the PPG signal can be acquired by the camera of the mobile phone terminal to perform heart rate detection.
  • the feature extraction module 720 extracts a heart rate feature from a waveform corresponding to the heart rate signal.
  • the type of the extracted heart rate feature is not limited, and any feature based on the waveform is applicable to the technical solution of the embodiment.
  • the determining module 730 determines whether the heart rate feature meets the preset condition.
  • the preset condition may be any condition that conforms to the normal heart rate waveform.
  • the stable heart rate signal has two characteristics: 1) wave asymmetry: that is, up and down waves The edge (the upper and lower wave edges are divided as shown in Figure 2B), the absolute value of the corresponding slope is different; 2) the amplitude is stable: during the stable test time, the amplitude (ie, the peak-to-peak value) should not be abrupt within a certain range, so based on
  • the conditions of the two feature settings are all applicable to the technical solution of the embodiment.
  • the key to this embodiment is to analyze the characteristics of the heart rate signal to determine whether it is a heart rate signal under normal conditions.
  • the output module 740 outputs a corresponding heart rate value according to the heart rate signal when the determination result is YES.
  • the existing bracelet needs to be in a resting state for at least 8 seconds to display the heart rate; and the smartphone that measures the heart rate by pressing the camera of the mobile phone usually has a large error in calculation results due to slight movement of the hand.
  • the technical solution of the embodiment based on the characteristics of the waveform, it can be determined whether the heart rate is detected under normal conditions. Under normal conditions, the waveform of the heart rate signal is stable, and it is not necessary to detect whether the waveform changes for a long time, so it is advantageous. Quickly calculate the heart rate value, and calculate the heart rate value based on the heart rate signal under normal conditions, and get the correct heart rate value, which can avoid The wrong situation.
  • an embodiment of the present invention provides an apparatus for detecting a heart rate, including:
  • the signal acquisition module 810 collects a heart rate signal.
  • the feature extraction module 820 extracts a heart rate feature from a waveform corresponding to the heart rate signal.
  • the determining module 830 determines whether the heart rate feature indicates that the user's finger completely presses the light source for detecting the heart rate.
  • the light source is the flash of the mobile phone.
  • the ambient light signal is more obvious when the heart rate signal is collected.
  • the heart rate signal collected is as shown in FIG. 4, and the signal has the following characteristics: 1) the peak-to-peak value at this time is smaller than the peak-to-peak value when the pressure is intact; 2) Within a fixed time, the number of peaks and troughs searched is significantly larger than that of full compression. Therefore, in the present embodiment, it can be determined whether the signal is a signal generated when the user's finger does not fully press the light source.
  • the first prompt information generating module 840 generates first prompt information when the heart rate feature indicates that the user's finger does not completely press the light source; the first prompt information is used to prompt the user to press the finger onto the light source.
  • the heart rate signal is abnormal, the user is prompted in time to avoid outputting an incorrect heart rate value to the user.
  • the determining module 830 determines whether the heart rate feature indicates that the user is in a resting state when the heart rate feature indicates that the user's finger completely presses the light source.
  • the collected heart rate signal is as shown in Fig. 5.
  • the characteristics of the signal are: 1) the waveform symmetry is good; 2) the irregular motion causes the peak between the wave and the wave. The peak value changes greatly, and the peak-to-peak value between the wave and the wave is more consistent under the regular motion. Therefore, in the present embodiment, it can be determined whether the signal is a signal generated by the user in a moving state.
  • the second prompt information generating module 850 generates second prompt information when the heart rate feature indicates that the user is in a motion state; and the second prompt information is used to prompt the user to maintain the resting state.
  • the heart rate signal is abnormal, the user is prompted in time to avoid outputting an incorrect heart rate value to the user.
  • the output module 860 outputs a corresponding heart rate value according to the heart rate signal when the heart rate characteristic indicates that the user is in a resting state.
  • the quality of the heart rate signal is actually determined: by collecting the heart rate signal in real time, it is determined whether the finger is completely pressed, and if it is completely pressed, it is Normal heart rate signal or signal with large motion (large calculation error), and when the user does not press the light source or press the incomplete, give corresponding prompt; further judge whether the user's hand is moving, and correctly give the signal with motion A corresponding prompt, such as "Please keep still", and a normal heart rate signal can calculate the correct heart rate value (usually 4-6 seconds).
  • An embodiment of the present invention provides an apparatus for detecting a heart rate, comprising:
  • the signal acquisition module 810 collects a heart rate signal. In the present embodiment, it is assumed that data of 3 seconds is collected each time for analysis and judgment (normal heart rate of 30 BPM to 220 BPM, Beat Per Minite heart rate per minute).
  • the feature extraction module 820 extracts a heart rate feature from a waveform corresponding to the heart rate signal.
  • the heart rate characteristic includes the number of peaks and troughs in the waveform, the peak-to-peak value of the waveform, the slope of the upper wave edge of at least one wave in the waveform, and the slope of the lower wave edge, or the AC of at least two peaks in the waveform (AC: Alternating) Current, the difference between the components, where the AC component of each peak is the mean of the amplitude between the two adjacent valleys.
  • the determining module 830 determines whether the number of peaks and troughs in the waveform is located in the preset first interval.
  • the first interval is not limited, for example, searching for peaks and valleys in the waveform of the heart rate signal, and the number of peaks and troughs occurring within 3 seconds should be in the range of 1-11 (first interval), if In this range, it is determined that the light source is not pressed properly when it is not pressed or pressed.
  • the first prompt information generating module 840 generates first prompt information when the number of peaks and troughs in the waveform is not in the first interval; the first prompt information is used to prompt the user to press the finger onto the light source.
  • the determining module 830 determines whether the peak-to-peak value of the waveform exceeds a preset threshold when the number of peaks and troughs in the waveform is in the first interval.
  • the preset threshold is not limited. For example, according to the influence of the ambient light on the heart rate signal, the amplitude difference corresponding to the peak and the trough is small, that is, if the maximum peak-to-peak value is less than the threshold 50 (threshold), then the determination is performed. The light source is not pressed properly when the light source is not pressed or pressed.
  • the first prompt information generating module 840 generates first prompt information when the peak-to-peak value of the waveform does not exceed the preset threshold; the first prompt information is used to prompt the user to press the finger onto the light source.
  • the determining module 830 determines whether the absolute value of the slope of the upper wave edge is greater than the absolute value of the slope of the lower wave edge when the peak-to-peak value of the waveform exceeds a preset threshold.
  • the slope of the upper and lower wave edges of each wave is calculated according to the searched peaks and valleys, and the absolute value of the slope of each wave on the wave rate signal is greater than the absolute value of the slope of the lower wave edge. If this condition is not met, the current signal is considered to be a heart rate signal with relative motion.
  • the second prompt information generating module 850 generates second prompt information when the absolute value of the slope of the upper wave edge is smaller than the absolute value of the slope of the lower wave edge; the second prompt information is used to prompt the user to maintain the resting state.
  • the determining module 830 determines whether the difference between the AC components of the at least two peaks is located in the preset second interval when the absolute value of the slope of the upper wave edge is greater than the absolute value of the slope of the lower wave edge.
  • the AC component of the wave is measured by the mean value of the trough to the nearest peak, the peak to the amplitude of the adjacent trough, and if the maximum difference of the AC component is greater than the threshold 30, the current signal is considered to be a heart rate signal with relative motion. .
  • the second prompt information generating module 850 generates second prompt information when the difference is not in the second interval, and the second prompt information is used to prompt the user to maintain the resting state.
  • the output module 860 outputs a corresponding heart rate value according to the heart rate signal when the difference is in the second interval. If the above condition is excluded, the current signal is considered to be a normal heart rate signal, and the heart rate value can be calculated and output.
  • the specific heart rate value calculation method can be: 60 ⁇ sampling rate/average interval between peaks.
  • the accurate heart rate result is usually given in 4-6 seconds; the heart rate error is 5 BPM compared with the ECG; the signal quality can be effectively judged, whether it is a normal heart rate signal, and The corresponding operation prompts.
  • the technical solution of the present invention which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk,
  • a storage medium such as ROM/RAM, disk,
  • the optical disc includes a number of instructions for causing a terminal device (which may be a cell phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the methods described in various embodiments of the present invention.

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Abstract

一种检测心率的方法和装置。该方法包括：采集心率信号（110）；从心率信号对应的波形中提取心率特征（120）；判断心率特征是否符合预设条件（130）；在判断结果为是时，根据心率信号输出相应的心率值（140）。该装置包括信号采集模块（710），特征提取模块（720），判断模块（730）以及输出模块（740）。该方法和装置基于心率的波形特征可以判断出当前是否在正常情况下进行心率检测，这样有利于快速计算出心率值，减小心率计算错误的情况。

Description

检测心率的方法和装置 技术领域
本发明涉及电子技术领域，尤其涉及一种检测心率的方法和装置。
背景技术
心率作为反映一个人身体健康的重要信息备受人们关注，医学上的心率检测基于ECG(ElectroCardioGram，心电图)信号，其测量方式复杂，通常需要他人协助完成，并且设备不易携带。
近来，可穿戴、手持等智能设备接受用户手指按压摄像头，并利用一定波长的光(如660nm-720nm的红光)照射用户的手指并通过摄像头采集到PPG(PhotoPlethysmoGraphy，光电容积描记技术)信号以进行心率的测量。类似手环、手机的智能设备，其便携性较好所以利于实时的测量，目前，越来越多的智能设备加入此功能。
然而，大多数基于PPG信号测量心率的智能设备都存在着计算时间慢或/和计算误差大的缺陷。
发明内容
本发明的主要目的在于提出一种检测心率的方法和装置，旨在解决检测心率效率低下且错误率高的问题。
为实现上述目的，本发明提供的一种检测心率的方法，包括：采集心率信号；从所述心率信号对应的波形中提取心率特征；判断所述心率特征是否符合预设条件；在判断结果为是时，根据所述心率信号输出相应的心率值。
可选地，前述的检测心率的方法，判断所述心率特征是否符合预设条件，具体包括：判断所述心率特征是否指示所述用户的手指完全按压用于检测心率的光源。
可选地，前述的检测心率的方法，所述心率特征包括所述波形中的波峰和/或波谷的数量，和/或所述波形的峰峰值；判断所述心率特征是否所述用户的手指完全按压用于检测心率的光源，具体包括：判断所述波形中的波峰和/或波谷的数量是否位于预设的第一区间中；和/或判断所述波形的峰峰值是否 超过预设阈值。
可选地，前述的检测心率的方法，还包括：在判断结果为否时，生成第一提示信息；所述第一提示信息用于提示所述用户将手指按压到所述光源上。
可选地，前述的检测心率的方法，判断所述心率特征是否符合预设条件，具体包括：判断所述心率特征是否指示所述用户处于静息状态。
可选地，前述的检测心率的方法，所述心率特征包括所述波形中的至少一个波的上波沿的斜率和下波沿的斜率，和/或所述波形中的至少两个波峰的交流AC分量之间的差值，其中每个波峰的交流AC分量为其与相邻的两个波谷之间幅值的均值；判断所述心率特征是否指示所述用户处于静息状态，具体包括：判断所述上波沿的斜率的绝对值是否大于所述下波沿的斜率的绝对值；和/或判断所述至少两个波峰的交流AC分量之间的差值是否位于预设的第二区间。
可选地，前述的检测心率的方法，还包括：在判断结果为否时，生成第二提示信息；所述第二提示信息用于提示用户保持静息状态。
为实现上述目的，本发明还提供的一种检测心率的装置，包括：信号采集模块，用于采集心率信号；特征提取模块，用于从所述心率信号对应的波形中提取心率特征；判断模块，用于判断所述心率特征是否符合预设条件；输出模块，用于在判断结果为是时，根据所述心率信号输出相应的心率值。
可选地，前述的检测心率的装置，所述判断模块判断所述心率特征是否指示所述用户的手指完全按压用于检测心率的光源。
可选地，前述的检测心率的装置，所述心率特征包括所述波形中的波峰和/或波谷的数量，和/或所述波形的峰峰值；所述判断模块判断所述波形中的波峰和/或波谷的数量是否位于预设的第一区间中；和/或判断所述波形的峰峰值是否超过预设阈值。
可选地，前述的检测心率的装置，还包括：第一提示信息生成模块，用于在判断结果为否时，生成第一提示信息；所述第一提示信息用于提示所述用户将手指按压到所述光源上。
可选地，前述的检测心率的装置，所述判断模块判断所述心率特征是否指示所述用户处于静息状态。
可选地，前述的检测心率的装置，所述心率特征包括所述波形中的至少 一个波的上波沿的斜率和下波沿的斜率，和/或所述波形中的至少两个波峰的交流AC分量之间的差值，其中每个波峰的交流AC分量为其与相邻的两个波谷之间幅值的均值；所述判断模块判断所述上波沿的斜率的绝对值是否大于所述下波沿的斜率的绝对值；和/或判断所述至少两个波峰的交流AC分量之间的差值是否位于预设的第二区间。
可选地，前述的检测心率的装置，还包括：第二提示信息生成模块，用于在判断结果为否时，生成第二提示信息；所述第二提示信息用于提示用户保持静息状态。
根据以上的技术方案，可知本发明的检测心率的方法和装置至少具有以下优点：
根据本发明的技术方案，由于正常检测到的心率信号的波形都具有一些共同的特征，所以基于波形的特征就可以判断出当前是否在正常情况下进行心率的检测，正常情况下心率信号的波形稳定，不需要长时间检测其是否变化，所以有利于快速计算出心率值，而且基于正常情况下的心率信号计算心率值，得到的是正确的心率值，能够避免出现错误的情况。
附图说明
图1是根据本发明的一个实施例的检测心率的方法的流程图；
图2A是一个心率信号的波形示意图；
图2B是一个心率信号的波形示意图；
图3是根据本发明的一个实施例的检测心率的方法的流程图；
图4是另一个心率信号的波形示意图；
图5是又一个心率信号的波形示意图；
图6是根据本发明的一个实施例的检测心率的方法的流程图；
图7是根据本发明的一个实施例的检测心率的装置的框图；
图8是根据本发明的一个实施例的检测心率的装置的框图。
本发明目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
具体实施方式
应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限 定本发明。
如图1所示，本发明的一个实施例中提供了一种检测心率的方法，包括：
步骤110，采集心率信号。在本实施例中，对采集心率信号的方式不进行限制，例如可以利用手机终端的摄像头获取PPG信号来进行心率检测。
步骤120，从心率信号对应的波形中提取心率特征。在本实施例中，对所提取心率特征的类型不进行限制，基于波形的任何特征都适用于本实施例的技术方案。
步骤130，判断心率特征是否符合预设条件。在本实施例中，预设条件可以是符合正常心率波形的任何条件，例如，如图2A所示为稳定的心率信号，该稳定心率信号具备两个特征：1)波非对称：即上下波沿(上下波沿的划分如图2B所示)对应斜率的绝对值不同；2)幅值稳定：在稳定测试时间内，幅值(即峰峰值)应在一定范围内不会突变，因此基于该两个特征设置的条件均适用于本实施例的技术方案。本实施例的关键是对心率信号的特征进行剖析，进而判断其是否为正常情况下的心率信号。
步骤140，在判断结果为是时，根据心率信号输出相应的心率值。
现有的手环需要静息状态保持至少8秒才能显示出心率；而通过按压手机摄像头的方式测量心率的智能手机，通常因为手部轻微的运动导致计算结果误差较大。而根据本实施例的技术方案，基于波形的特征就可以判断出当前是否在正常情况下进行心率的检测，在正常情况下心率信号的波形稳定，不需要长时间检测波形是否变化，所以有利于快速计算出心率值，而且基于正常情况下的心率信号计算心率值，得到的是正确的心率值，能够避免出现错误的情况。
如图3所示，本发明的一个实施例中提供了一种检测心率的方法，包括：
步骤310，采集心率信号。
步骤320，从心率信号对应的波形中提取心率特征。
步骤330，判断心率特征是否指示用户的手指完全按压用于检测心率的光源。在本实施例中，如果利用手机终端检测心率，则光源为手机的闪光灯。当用户手指未完全按压光源时，采集心率信号时受到环境光干扰比较明显，采集的心率信号如图4所示，此信号具有以下特征：1)此时峰峰值小于完好 按压时的峰峰值；2)在固定时间内，搜索到的波峰、波谷个数明显大于完全按压的情况。因此，在本实施例中，可以判断出信号是否是用户手指未完全按压光源时产生的信号。
步骤340，在心率特征指示用户的手指未完全按压光源时，生成第一提示信息；第一提示信息用于提示用户将手指按压到光源上。在本实施例中，在心率信号不正常的情况下及时对用户进行提示，避免输出错误的心率值给用户。
步骤350，在心率特征指示用户的手指完全按压光源时，判断心率特征是否指示用户处于静息状态。当用户的手部存在规律/不规律运动时，采集的心率信号如图5所示，该信号的特征是：1)波形对称性较好；2)不规律运动会造成波与波之间的峰峰值变化较大，规律运动情况下波与波之间的峰峰值较一致。因此，在本实施例中，可以判断出信号是否是用户在运动状态下产生的信号。
步骤360，在心率特征指示用户处于运动状态时，生成第二提示信息；第二提示信息用于提示用户保持静息状态。在本实施例中，在心率信号不正常的情况下及时对用户进行提示，避免输出错误的心率值给用户。
步骤370，在心率特征指示用户处于静息状态时，根据心率信号输出相应的心率值。
在本实施例的技术方案中，实际上是对心率信号的质量进行了判断：通过实时地对心率信号进行采集，判断手指是否完全按压，若完全按压则其是正常心率信号或存在运动(计算误差大)的信号，并在用户未按压光源或按压不全时，给出相应提示；进一步对用户的手部是否运动进行判断，对于存在运动的信号则正确地给出相应提示，如“请保持静止”，而对于正常的心率信号能够较快的计算出正确的心率值(通常需要4-6秒)。根据本实施例的技术方案，能够区分不同情况下的心率信号，正确的辨别当前信号是否反映了人的心率，并给出心率值或提示信息，能够为用户快速、准确的给出反馈结果。
如图6所示，本发明的一个实施例中提供了一种检测心率的方法，包括：
步骤610，采集心率信号。在本实施例中，假设每次采集3秒钟的数据以 用于进行分析判断(正常人的心率为30BPM～220BPM，Beat Per Minite每分钟心跳次数)。
步骤620，从心率信号对应的波形中提取心率特征。心率特征包括波形中的波峰和波谷的数量、波形的峰峰值、波形中的至少一个波的上波沿的斜率和下波沿的斜率、或波形中的至少两个波峰的AC(AC：Alternating Current，交流)分量之间的差值，其中每个波峰的AC分量为其与相邻的两个波谷之间幅值的均值。
步骤630，判断波形中的波峰和波谷的数量是否位于预设的第一区间中。在本实施例中，对第一区间不进行限制，例如在心率信号的波形中搜索峰谷，3秒内出现波峰和波谷的个数应在范围1-11个(第一区间)，若超出此范围，则判定为未按压或按压时未完好按压光源。
步骤640，在波形中的波峰和波谷的数量未处于第一区间中时，生成第一提示信息；第一提示信息用于提示用户将手指按压到光源上。
步骤650，在波形中的波峰和波谷的数量位于第一区间中时，判断波形的峰峰值是否超过预设阈值。在本实施例中，对预设阈值不进行限制，例如，依据环境光对心率信号的影响，波峰、波谷对应的幅值差较小，即若最大峰峰值小于阈值50(阈值)，则判定为未按压光源或按压时未完好按压光源。
在波形的峰峰值未超过预设阈值时，返回步骤640生成第一提示信息；第一提示信息用于提示用户将手指按压到光源上。
步骤660，在波形的峰峰值超过预设阈值时，判断上波沿的斜率的绝对值是否大于下波沿的斜率的绝对值。在本实施例中，根据搜索到的峰谷，对每个波的上下波沿的斜率进行计算，心率信号中每个波上波沿斜率的绝对值均大于下波沿斜率的绝对值，若不满足此条件，则认为当前信号是存在相对运动的心率信号。
步骤670，在上波沿的斜率的绝对值小于下波沿的斜率的绝对值时，生成第二提示信息；第二提示信息用于提示用户保持静息状态。
步骤680，在上波沿的斜率的绝对值大于下波沿的斜率的绝对值时，判断至少两个波峰的AC分量之间的差值是否位于预设的第二区间。在本实施例中，波的AC分量以波谷到最近波峰、此波峰到相邻波谷幅值的均值计量，若AC分量的最大差值大于阈值30，则认为当前信号是存在相对运动的心率信号。
在差值未处于第二区间时，回到步骤670生成第二提示信息；第二提示信息用于提示用户保持静息状态。
步骤690，在差值位于第二区间时，根据心率信号输出相应的心率值。若排除掉上述的条件，则认为当前信号是正常心率信号，由此可计算出心率值并输出，具体的心率值计算方式可以是：60×采样率/波峰间平均间隔。
根据本实施例的技术方案，通常在4-6秒能给出准确的心率结果；与ECG相比计算心率误差为5BPM；能够有效地判断信号质量，区分其是否是正常的心率信号，并给出相应操作提示。
如图7所示，本发明的一个实施例中提供了一种检测心率的装置，包括：
信号采集模块710，采集心率信号。在本实施例中，对采集心率信号的方式不进行限制，例如可以利用手机终端的摄像头获取PPG信号来进行心率检测。
特征提取模块720，从心率信号对应的波形中提取心率特征。在本实施例中，对所提取心率特征的类型不进行限制，基于波形的任何特征都适用于本实施例的技术方案。
判断模块730，判断心率特征是否符合预设条件。在本实施例中，预设条件可以是符合正常心率波形的任何条件，例如，如图2A所示为稳定的心率信号，该稳定心率信号具备两个特征：1)波非对称：即上下波沿(上下波沿的划分如图2B所示)对应斜率的绝对值不同；2)幅值稳定：在稳定测试时间内，幅值(即峰峰值)应在一定范围内不会突变，因此基于该两个特征设置的条件均适用于本实施例的技术方案。本实施例的关键是对心率信号的特征进行剖析，进而判断其是否为正常情况下的心率信号。
输出模块740，在判断结果为是时，根据心率信号输出相应的心率值。
现有的手环需要静息状态保持至少8秒才能显示出心率；而通过按压手机摄像头的方式测量心率的智能手机，通常因为手部轻微的运动导致计算结果误差较大。而根据本实施例的技术方案，基于波形的特征就可以判断出当前是否在正常情况下进行心率的检测，在正常情况下心率信号的波形稳定，不需要长时间检测波形是否变化，所以有利于快速计算出心率值，而且基于正常情况下的心率信号计算心率值，得到的是正确的心率值，能够避免出现 错误的情况。
如图8所示，本发明的一个实施例中提供了一种检测心率的装置，包括：
信号采集模块810，采集心率信号。
特征提取模块820，从心率信号对应的波形中提取心率特征。
判断模块830，判断心率特征是否指示用户的手指完全按压用于检测心率的光源。在本实施例中，如果利用手机终端检测心率，则光源为手机的闪光灯。当用户手指未完全按压光源时，采集心率信号时受到环境光干扰比较明显，采集的心率信号如图4所示，此信号具有以下特征：1)此时峰峰值小于完好按压时的峰峰值；2)在固定时间内，搜索到的波峰、波谷个数明显大于完全按压的情况。因此，在本实施例中，可以判断出信号是否是用户手指未完全按压光源时产生的信号。
第一提示信息生成模块840，在心率特征指示用户的手指未完全按压光源时，生成第一提示信息；第一提示信息用于提示用户将手指按压到光源上。在本实施例中，在心率信号不正常的情况下及时对用户进行提示，避免输出错误的心率值给用户。
判断模块830，在心率特征指示用户的手指完全按压光源时，判断心率特征是否指示用户处于静息状态。当用户的手部存在规律/不规律运动时，采集的心率信号如图5所示，该信号的特征是：1)波形对称性较好；2)不规律运动会造成波与波之间的峰峰值变化较大，规律运动情况下波与波之间的峰峰值较一致。因此，在本实施例中，可以判断出信号是否是用户在运动状态下产生的信号。
第二提示信息生成模块850，在心率特征指示用户处于运动状态时，生成第二提示信息；第二提示信息用于提示用户保持静息状态。在本实施例中，在心率信号不正常的情况下及时对用户进行提示，避免输出错误的心率值给用户。
输出模块860，在心率特征指示用户处于静息状态时，根据心率信号输出相应的心率值。
在本实施例的技术方案中，实际上是对心率信号的质量进行了判断：通过实时地对心率信号进行采集，判断手指是否完全按压，若完全按压则其是 正常心率信号或存在运动(计算误差大)的信号，并在用户未按压光源或按压不全时，给出相应提示；进一步对用户的手部是否运动进行判断，对于存在运动的信号则正确地给出相应提示，如“请保持静止”，而对于正常的心率信号能够较快的计算出正确的心率值(通常需要4-6秒)。根据本实施例的技术方案，能够区分不同情况下的心率信号，正确的辨别当前信号是否反映了人的心率，并给出心率值或提示信息，能够为用户快速、准确的给出反馈结果。
本发明的一个实施例中提供了一种检测心率的装置，包括：
信号采集模块810，采集心率信号。在本实施例中，假设每次采集3秒钟的数据以用于进行分析判断(正常人的心率为30BPM～220BPM，Beat Per Minite每分钟心跳次数)。
特征提取模块820，从心率信号对应的波形中提取心率特征。心率特征包括波形中的波峰和波谷的数量、波形的峰峰值、波形中的至少一个波的上波沿的斜率和下波沿的斜率、或波形中的至少两个波峰的AC(AC：Alternating Current，交流)分量之间的差值，其中每个波峰的AC分量为其与相邻的两个波谷之间幅值的均值。
判断模块830，判断波形中的波峰和波谷的数量是否位于预设的第一区间中。在本实施例中，对第一区间不进行限制，例如在心率信号的波形中搜索峰谷，3秒内出现波峰和波谷的个数应在范围1-11个(第一区间)，若超出此范围，则判定为未按压或按压时未完好按压光源。
第一提示信息生成模块840，在波形中的波峰和波谷的数量未处于第一区间中时，生成第一提示信息；第一提示信息用于提示用户将手指按压到光源上。
判断模块830，在波形中的波峰和波谷的数量位于第一区间中时，判断波形的峰峰值是否超过预设阈值。在本实施例中，对预设阈值不进行限制，例如，依据环境光对心率信号的影响，波峰、波谷对应的幅值差较小，即若最大峰峰值小于阈值50(阈值)，则判定为未按压光源或按压时未完好按压光源。
第一提示信息生成模块840，在波形的峰峰值未超过预设阈值时，生成第一提示信息；第一提示信息用于提示用户将手指按压到光源上。
判断模块830，在波形的峰峰值超过预设阈值时，判断上波沿的斜率的绝对值是否大于下波沿的斜率的绝对值。在本实施例中，根据搜索到的峰谷，对每个波的上下波沿的斜率进行计算，心率信号中每个波上波沿斜率的绝对值均大于下波沿斜率的绝对值，若不满足此条件，则认为当前信号是存在相对运动的心率信号。
第二提示信息生成模块850，在上波沿的斜率的绝对值小于下波沿的斜率的绝对值时，生成第二提示信息；第二提示信息用于提示用户保持静息状态。
判断模块830，在上波沿的斜率的绝对值大于下波沿的斜率的绝对值时，判断至少两个波峰的AC分量之间的差值是否位于预设的第二区间。在本实施例中，波的AC分量以波谷到最近波峰、此波峰到相邻波谷幅值的均值计量，若AC分量的最大差值大于阈值30，则认为当前信号是存在相对运动的心率信号。
第二提示信息生成模块850，在差值未处于第二区间时，生成第二提示信息；第二提示信息用于提示用户保持静息状态。
输出模块860，在差值位于第二区间时，根据心率信号输出相应的心率值。若排除掉上述的条件，则认为当前信号是正常心率信号，由此可计算出心率值并输出，具体的心率值计算方式可以是：60×采样率/波峰间平均间隔。
根据本实施例的技术方案，通常在4-6秒能给出准确的心率结果；与ECG相比计算心率误差为5BPM；能够有效地判断信号质量，区分其是否是正常的心率信号，并给出相应操作提示。
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者装置不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者装置所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括该要素的过程、方法、物品或者装置中还存在另外的相同要素。
上述本发明实施例序号仅仅为了描述，不代表实施例的优劣。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通 过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的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(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端设备(可以是手机，计算机，服务器，空调器，或者网络设备等)执行本发明各个实施例所述的方法。
以上仅为本发明的优选实施例，并非因此限制本发明的专利范围，凡是利用本发明说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本发明的专利保护范围内。

Claims (14)

  1. 一种检测心率的方法，其特征在于，包括：
    采集心率信号；
    从所述心率信号对应的波形中提取心率特征；
    判断所述心率特征是否符合预设条件；
    在判断结果为是时，根据所述心率信号输出相应的心率值。
  2. 根据权利要求1所述的检测心率的方法，其特征在于，判断所述心率特征是否符合预设条件，具体包括：
    判断所述心率特征是否指示所述用户的手指完全按压用于检测心率的光源。
  3. 根据权利要求2所述的检测心率的方法，其特征在于，所述心率特征包括所述波形中的波峰和/或波谷的数量，和/或所述波形的峰峰值；判断所述心率特征是否所述用户的手指完全按压用于检测心率的光源，具体包括：
    判断所述波形中的波峰和/或波谷的数量是否位于预设的第一区间中；和/或
    判断所述波形的峰峰值是否超过预设阈值。
  4. 根据权利要求2所述的检测心率的方法，其特征在于，还包括：
    在判断结果为否时，生成第一提示信息；所述第一提示信息用于提示所述用户将手指按压到所述光源上。
  5. 根据权利要求1所述的检测心率的方法，其特征在于，判断所述心率特征是否符合预设条件，具体包括：
    判断所述心率特征是否指示所述用户处于静息状态。
  6. 根据权利要求5所述的检测心率的方法，其特征在于，所述心率特征包括所述波形中的至少一个波的上波沿的斜率和下波沿的斜率，和/或所述波形中的至少两个波峰的交流AC分量之间的差值，其中每个波峰的交流AC分量为其与相邻的两个波谷之间幅值的均值；判断所述心率特征是否指示所述用户处于静息状态，具体包括：
    判断所述上波沿的斜率的绝对值是否大于所述下波沿的斜率的绝对值；和/或
    判断所述至少两个波峰的交流AC分量之间的差值是否位于预设的第二区间。
  7. 根据权利要求5所述的检测心率的方法，其特征在于，还包括：
    在判断结果为否时，生成第二提示信息；所述第二提示信息用于提示用户保持静息状态。
  8. 一种检测心率的装置，其特征在于，包括：
    信号采集模块，用于采集心率信号；
    特征提取模块，用于从所述心率信号对应的波形中提取心率特征；
    判断模块，用于判断所述心率特征是否符合预设条件；
    输出模块，用于在判断结果为是时，根据所述心率信号输出相应的心率值。
  9. 根据权利要求8所述的检测心率的装置，其特征在于，
    所述判断模块判断所述心率特征是否指示所述用户的手指完全按压用于检测心率的光源。
  10. 根据权利要求9所述的检测心率的装置，其特征在于，所述心率特征包括所述波形中的波峰和/或波谷的数量，和/或所述波形的峰峰值；
    所述判断模块判断所述波形中的波峰和/或波谷的数量是否位于预设的第一区间中；和/或判断所述波形的峰峰值是否超过预设阈值。
  11. 根据权利要求9所述的检测心率的装置，其特征在于，还包括：
    第一提示信息生成模块，用于在判断结果为否时，生成第一提示信息；所述第一提示信息用于提示所述用户将手指按压到所述光源上。
  12. 根据权利要求8所述的检测心率的装置，其特征在于，
    所述判断模块判断所述心率特征是否指示所述用户处于静息状态。
  13. 根据权利要求12所述的检测心率的装置，其特征在于，所述心率特征包括所述波形中的至少一个波的上波沿的斜率和下波沿的斜率，和/或所述波形中的至少两个波峰的交流AC分量之间的差值，其中每个波峰的交流AC分量为其与相邻的两个波谷之间幅值的均值；
    所述判断模块判断所述上波沿的斜率的绝对值是否大于所述下波沿的斜率的绝对值；和/或判断所述至少两个波峰的交流AC分量之间的差值是否位于预设的第二区间。
  14. 根据权利要求12所述的检测心率的装置，其特征在于，还包括：
    第二提示信息生成模块，用于在判断结果为否时，生成第二提示信息；所述第二提示信息用于提示用户保持静息状态。
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