CN106889980A - Self adaptation switching heart rate detection method, device and wearable heartbeat detection device based on spectrogram - Google Patents

Self adaptation switching heart rate detection method, device and wearable heartbeat detection device based on spectrogram Download PDF

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Publication number
CN106889980A
CN106889980A CN201710025442.5A CN201710025442A CN106889980A CN 106889980 A CN106889980 A CN 106889980A CN 201710025442 A CN201710025442 A CN 201710025442A CN 106889980 A CN106889980 A CN 106889980A
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China
Prior art keywords
heart rate
frequency
coloured light
self adaptation
spectrogram
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Pending
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CN201710025442.5A
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Chinese (zh)
Inventor
胡中骥
陈沧毅
严文华
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Cosonic Intelligent Technologies Co Ltd
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Cosonic Intelligent Technologies Co Ltd
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Priority to CN201710025442.5A priority Critical patent/CN106889980A/en
Publication of CN106889980A publication Critical patent/CN106889980A/en
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, 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
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02416Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation

Abstract

The present invention relates to heart rate detection technical field, self adaptation switching heart rate detection method and wearable heartbeat detection device more particularly to based on spectrogram.The spectral intensity figure to form that temporally frequency relation is distributed is mapped by carrying out Fourier transform to the electrocardiosignal obtained under coloured light, using user's heart rate frequency peak region line in time in spectral intensity figure as changes in heart rate curve, by the continuity of changes in heart rate curve it may determine that the validity that currently coloured light is gathered to heart rate signal, the photosignal collected under current coloured light is unintelligible, when can not understand reflection changes in heart rate situation, penetrability coloured light higher is immediately switched to gather electrocardiosignal, to ensure the continuity and accuracy of heart rate detection.Switch heart rate detection method for the self adaptation for being based on spectrogram, functional module construction can be combined into by setting up functional module, implemented by storing computer program in a computer-readable storage medium.

Description

Self adaptation switching heart rate detection method, device and wearable heart rate based on spectrogram Detection means
Technical field
The present invention relates to heart rate detection technical field, the self adaptation switching heart rate detection method more particularly to based on spectrogram With wearable heartbeat detection device.Switch heart rate detection method for the self adaptation for being based on spectrogram, can be by setting up work( Energy module, is combined into functional module construction, is implemented by storing computer program in a computer-readable storage medium.
Background technology
With the improvement of living standards, people for health requirement more and more higher, wherein, many people selection is run etc. can Using effective consumption of calorie, temper cardio-pulmonary function and even improve the health care of sleep the aerobic exercise of quality as daily exercise project.Heart rate one It has been the most direct indicator for weighing aerobic exercise ratio since straight, understanding the maximum aerobic heart rate of itself contributes to motion to like The more healthy motion of person, and obtain more preferable athletic performance.And the motion of excessively prolonged too high heart rate, it is to damage to health Wound, this is required for being avoided as possible in competition and training.Therefore, the people or sports fan of health status are much paid close attention to all Like having on the heartbeat detection devices such as heart rate detection bracelet, wrist-watch, earphone with oneself.These heartbeat detection devices more focus on timeliness Property, and accurate detection need not be accomplished, generally use optics plethysmography(PPG)Method carry out the detection of heart rate. Optics plethysmography(PPG)Method be gather human body surface reflection certain light under electrocardiosignal, analysis obtain heart rate Situation of change.Human body different parts are reflected light, transmitted or are absorbed, and blood also has absorption to the light of specific wavelength Effect, the wavelength all can largely be absorbed during each cardiac pumping, and heartbeat is assured that with this.The skin of human body, bone, fat Fat etc. is fixed to the reflected value of light, and capillary and arteriovenous volume can be continually changing with blood flow, so right What the reflection of light showed is also undulating value, the frequency that blood is flowed through when the frequency of this undulating value is exactly cardiac pumping, you can To reflect heart rate situation.Using optics plethysmography(PPG)Heart rate detection method can only detect heart rate signal, do not moved When external noise influence, and structure is relatively easy, is easy to carry, and is widely used in wearable heartbeat detection device On.But which there is also compared with big limitation, such as different ethnic groups, the different colours of skin to the light absorption degree of different wave length not Together, human body is in the case where sweating, and light reflectance is also different, therefore current wearable heartbeat detection device on the market is all It is difficult to more accurate heart rate detection.
The content of the invention
The purpose of the present invention is:Provide the self adaptation switching heart rate detection method based on spectrogram and the inspection of wearable heart rate Device is surveyed, so as to realize continuity and accuracy heart rate detection higher.
The switching heart rate detection method of the self adaptation based on spectrogram that the present invention is given, comprises the following steps:
Photoelectric signal collection step:Photosignal of the collection skin surface under coloured light A;
Spectral intensity figure mapping step:The photosignal for collecting is mapped through Fourier transform to form m- frequency relation on time The spectral intensity figure of distribution;
Coloured light switch step:The region that synchronization frequency is most concentrated in definition spectral intensity figure is frequency peak region, then frequency Rate peak region line in time is changes in heart rate curve, in the discontinuous region of changes in heart rate curve, switches to collection Photosignal under coloured light B, the penetrability of the coloured light B is higher than coloured light A.
Switch heart rate detection method for the self adaptation based on spectrogram, can be combined successfully by setting up functional module Energy module frame, is implemented by storing computer program in a computer-readable storage medium.
In order to realize that the above-mentioned self adaptation based on spectrogram switches heart rate detection method, computer program can be write with structure Functional module construction is built, in the computer-readable storage medium the wearable heartbeat detection device of computer program typing.
The beneficial effects of the present invention are carrying out Fourier transform and map to be formed by the electrocardiosignal obtained under coloured light The spectral intensity figure of m- frequency relation distribution on time, user's heart rate frequency peak region in spectral intensity figure in time Line as changes in heart rate curve, by the continuity of changes in heart rate curve it may determine that current coloured light is gathered to heart rate signal Validity, the photosignal collected under current coloured light is unintelligible, i.e., when can not understand reflection changes in heart rate situation, immediately It is switched to penetrability coloured light higher to gather electrocardiosignal, to ensure the continuity and accuracy of heart rate detection.
Brief description of the drawings
Fig. 1 is photoelectric signal collection modular structure schematic diagram.
Fig. 2 is spectral intensity schematic diagram.
Fig. 3 is the photosignal waveform diagram of green glow.
Fig. 4 is the photosignal waveform diagram of feux rouges or infrared light.
Specific embodiment
The invention will be further described with the following Examples.
For real-time detection heart rate situation, user's body-worn is built-in with the self adaptation switching heart rate detection based on spectrogram The Intelligent bracelet of device, as shown in figure 1, having in Intelligent bracelet for gathering and recording skin surface in green glow(That is coloured light A)Under Photosignal photoelectric signal collection module PD2 and PD3, for gathering skin surface in feux rouges or infrared light(That is coloured light B) Under photosignal photoelectric signal collection module PD1 and PD4.Photoelectric signal collection module PD1, PD2, PD3, PD4 are placed on In Intelligent bracelet, between skin between be separated with the glass material of all-transparent, it is also possible to photoelectric signal collection module PD1, PD2, PD3, PD4 are placed on Intelligent bracelet outward and the part of direct skin contact, to reduce the loss during photoelectric signal collection.Intelligence Energy bracelet can also replace with the wearable devices such as Intelligent heart rate earphone or intelligent watch according to the demand of client.Such as Fig. 3 and Fig. 4 Shown, the signal to noise ratio of green optical signal is higher, and the drift in temperature change is smaller, under normal circumstances with green glow be obtained with compared with For clearly photosignal.The signal to noise ratio of feux rouges and infrared light is less better with respect to green glow, but the electrocardiosignal of collection also may be used Penetrability for the detection of heart rate, and feux rouges and infrared light is higher than green glow, big so that relatively more, skin of perspiring in amount of exercise Skin surface is in the case of the reflection enhancement of light, or crowd deep for the colour of skin, higher to the absorptivity of light, uses Feux rouges or infrared light can obtain relatively sharp photosignal.
After user opens the Intelligent bracelet worn, photoelectric signal collection the module PD2 and PD3 of Intelligent bracelet gather skin immediately Photosignal of the skin surface under green glow, the sample frequency of photoelectric signal collection module PD2 and PD3 is 200Hz, each optical telecommunications Number acquisition module is per second collects 200 sampled points, and Intelligent bracelet carries out Fourier change to the photosignal of these sampled points Analysis is changed, mapping forms the spectral intensity figure of on time m- frequency relation distribution as shown in Figure 2.In spectral intensity figure, horizontal seat Mark represents the change of 0 ~ 5Hz of frequency, and ordinate represents time change, a frequency on each sampled point correspondence spectral intensity figure Point, each transverse horizontal line represents the spectrum distribution at a certain moment, and the region that synchronization frequency is most concentrated is exactly frequency peak Value region, frequency peak region line in time is changes in heart rate curve.The deep place of colourity is that frequency compares collection In region, colourity represents noise signal, the frequency spectrum at multiple time points opened up well by shade than shallower place Show to come, facilitate follow-up signal analysis.In the spectral intensity figure shown in Fig. 2, there is one to connect relatively in 1 ~ 2Hz regional extents Continuous changes in heart rate curve, Intelligent bracelet is sentenced to the continuity of changes in heart rate curve in real time by two criterions once It is disconnected:1)Diagram 1,4 regions in, the changes in heart rate curve it is default it is front and rear be no more than in the time period of 5 seconds, frequency peak The frequency density in region drops below 30 sampled points, the frequency density difference in frequency peak region by more than 50 sampled points Amplitude exceed default 20 sampled points, the color on changes in heart rate curve is from depth to shallow so that frequency peak region is at this The state not planned a successor in the individual time period, Intelligent bracelet is judged as changes in heart rate curve within the time period in 1,4 regions of diagram Discontinuously;2)Diagram 2,3 regions can serve as frequency peak region of the changes in heart rate curve at 250 seconds, it is illustrated that 2nd area The frequency frequency in the frequency peak region in domain is in 1.5Hz or so, it is illustrated that the frequency frequency in frequency peak region in 3 regions exist 3Hz or so, two amplitudes of the frequency frequency phase-difference in frequency peak region exceed default 1Hz, and Intelligent bracelet is judged as heart rate Change curve is discontinuous at 250 seconds.In the discontinuous region of changes in heart rate curve, Intelligent bracelet enables photosignal and adopts immediately Collect module PD1 and PD4 to gather and record photosignal of the skin surface under feux rouges and infrared light.
Map to form what m- frequency relation on time was distributed by carrying out Fourier transform to the electrocardiosignal obtained under green glow Spectral intensity figure, using user's heart rate frequency peak region line in time in spectral intensity figure as changes in heart rate curve, By the continuity of changes in heart rate curve it may determine that the validity that is gathered to heart rate signal of green glow, collects under green glow Photosignal is unintelligible, i.e., when can not understand reflection changes in heart rate situation, be immediately switched to penetrability feux rouges higher or infrared Light gathers electrocardiosignal, ensureing the continuity and accuracy of heart rate detection.
Switch heart rate detection method for the above-mentioned self adaptation based on spectrogram, can be combined by setting up functional module Into functional module construction, implemented by storing computer program in a computer-readable storage medium.

Claims (10)

1. the self adaptation based on spectrogram switches heart rate detection method, it is characterised in that comprise the following steps:
Photoelectric signal collection step:Photosignal of the collection skin surface under coloured light A;
Spectral intensity figure mapping step:The photosignal for collecting is mapped through Fourier transform to form m- frequency relation on time The spectral intensity figure of distribution;
Coloured light switch step:The region that synchronization frequency is most concentrated in definition spectral intensity figure is frequency peak region, then frequency Rate peak region line in time is changes in heart rate curve, in the discontinuous region of changes in heart rate curve, switches to collection Photosignal under coloured light B, the penetrability of the coloured light B is higher than coloured light A.
2. the self adaptation based on spectrogram according to claim 1 switches heart rate detection method, it is characterised in that the color Light A is green glow, and coloured light B is feux rouges or infrared light.
3. the self adaptation based on spectrogram according to claim 1 switches heart rate detection method, it is characterised in that the heart Rate change curve refers to discontinuously:Within the default time period, the amplitude that there is the frequency density difference in frequency peak region surpasses Cross preset value.
4. the self adaptation based on spectrogram according to claim 1 switches heart rate detection method, it is characterised in that the heart Rate change curve refers to discontinuously:There are multiple frequency peak regions, the frequency frequency in these frequency peak regions in synchronization The amplitude of difference exceedes preset value.
5. the self adaptation based on spectrogram switches heartbeat detection device, it is characterised in that including:
Photoelectric signal collection module:Its photosignal of collection skin surface under coloured light A;
Spectral intensity figure mapping block:The photosignal that it is collected maps to form m- frequency pass on time through Fourier transform It is the spectral intensity figure of distribution;
Coloured light handover module:The region that synchronization frequency is most concentrated in its definition spectral intensity figure is frequency peak region, then Frequency peak region line in time is changes in heart rate curve, in the discontinuous region of changes in heart rate curve, switches to and adopts Photosignal under collection coloured light B, the penetrability of the coloured light B is higher than coloured light A.
6. the self adaptation based on spectrogram according to claim 5 switches heartbeat detection device, it is characterised in that the color Light A is green glow, and coloured light B is feux rouges or infrared light.
7. the self adaptation based on spectrogram according to claim 5 switches heartbeat detection device, it is characterised in that the heart Rate change curve refers to discontinuously:Within the default time period, the amplitude that there is the frequency density difference in frequency peak region surpasses Cross preset value.
8. the self adaptation based on spectrogram according to claim 5 switches heartbeat detection device, it is characterised in that the heart Rate change curve refers to discontinuously:There are multiple frequency peak regions, the frequency frequency in these frequency peak regions in synchronization The amplitude of difference exceedes preset value.
9. wearable heartbeat detection device, it is characterised in that including any one of claim 5 ~ 8 based on spectrogram Self adaptation switches heartbeat detection device, and the self adaptation that should be based on spectrogram switches the photoelectric signal collection module of heartbeat detection device All-transparent material is separated between with direct skin contact or between skin.
10. wearable heartbeat detection device according to claim 9, it is characterised in that the wearable heart rate detection dress Put is Intelligent heart rate earphone, Intelligent bracelet or intelligent watch.
CN201710025442.5A 2017-01-13 2017-01-13 Self adaptation switching heart rate detection method, device and wearable heartbeat detection device based on spectrogram Pending CN106889980A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109222951A (en) * 2018-10-30 2019-01-18 广东小天才科技有限公司 A kind of heart rate data acquisition method, device, terminal device and storage medium
CN111990983A (en) * 2020-08-31 2020-11-27 平安国际智慧城市科技股份有限公司 Heart rate monitoring method, intelligent pen, terminal and storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102647941A (en) * 2009-10-06 2012-08-22 皇家飞利浦电子股份有限公司 Method and system for carrying out photoplethysmography
US20140081153A1 (en) * 2012-09-18 2014-03-20 Casio Computer Co., Ltd. Pulse data detecting apparatus, pulse data detecting method, and storage medium having pulse data detection program recorded thereon
CN104207761A (en) * 2013-06-03 2014-12-17 飞比特公司 Heart rate data collection
CN104837403A (en) * 2012-11-27 2015-08-12 佛吉亚汽车座椅有限责任公司 Vehicle seat with integrated sensors
CN105534513A (en) * 2016-01-12 2016-05-04 杭州匠物网络科技有限公司 Dual-wavelength heart rate measuring device and method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102647941A (en) * 2009-10-06 2012-08-22 皇家飞利浦电子股份有限公司 Method and system for carrying out photoplethysmography
US20140081153A1 (en) * 2012-09-18 2014-03-20 Casio Computer Co., Ltd. Pulse data detecting apparatus, pulse data detecting method, and storage medium having pulse data detection program recorded thereon
CN104837403A (en) * 2012-11-27 2015-08-12 佛吉亚汽车座椅有限责任公司 Vehicle seat with integrated sensors
CN104207761A (en) * 2013-06-03 2014-12-17 飞比特公司 Heart rate data collection
CN105534513A (en) * 2016-01-12 2016-05-04 杭州匠物网络科技有限公司 Dual-wavelength heart rate measuring device and method

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109222951A (en) * 2018-10-30 2019-01-18 广东小天才科技有限公司 A kind of heart rate data acquisition method, device, terminal device and storage medium
CN111990983A (en) * 2020-08-31 2020-11-27 平安国际智慧城市科技股份有限公司 Heart rate monitoring method, intelligent pen, terminal and storage medium
CN111990983B (en) * 2020-08-31 2023-08-22 深圳平安智慧医健科技有限公司 Heart rate monitoring method, intelligent pen, terminal and storage medium

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