CN103815890A - Method for detecting heart rate by utilizing intelligent mobile phone camera - Google Patents
Method for detecting heart rate by utilizing intelligent mobile phone camera Download PDFInfo
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- CN103815890A CN103815890A CN201410083138.2A CN201410083138A CN103815890A CN 103815890 A CN103815890 A CN 103815890A CN 201410083138 A CN201410083138 A CN 201410083138A CN 103815890 A CN103815890 A CN 103815890A
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Abstract
The invention provides a method for detecting the heart rate by utilizing an intelligent mobile phone camera. The method comprises the steps that 1, a user covers the camera with a finger, and the camera continuously acquires images; 2, gray information in each frame of image is extracted, the gray information of every frame of image is accumulated for serving as the overall gray value of every frame of image, and the overall gray values of the continuous image form a blood gray change waveform; 3, preprocessing, baseline drift removing and smooth denoising are carried out on the waveform; 4, peak values of the waveform are extracted, and the number of frames between every two adjacent peak values is determined for calculating the real-time heart rate; 5, the extracted waveform signal is zoomed for simulating a dynamic electrocardiogram. The method does not need the aid of any other medical equipment, and only the finger covers the camera, and the electrocardio waveform can be simulated, so that the real-time heart rate can be calculated.
Description
Technical field
The present invention relates to a kind of detection method of heart rate, relate in particular to and a kind ofly utilize camera collection, catch small blood grey scale change and carry out analog electrocardiogram figure and measure the method for heart rate.
Background technology
Along with scientific and technological development, there is being much convenient for people to the product of life, health.On market, have a lot of portable Cardiotachometers, people, by these equipment, just can know the heart rate of oneself whenever and wherever possible, look at that whether the cardiac rhythm of oneself is normal.But the user group of these products has the people of HDH often, and although the equipment that is of portable form still may bring the problems such as uncomfortable of wearing to patient.
And universal along with smart mobile phone, we can utilize the computing capability of smart mobile phone and integrated several functions module to develop the product of healthy class as much as possible.On market, just lack this other armarium that do not utilize now, only utilize mobile phone to allow user measure the rhythm of the heart, observe the product of cardiac rhythm.
Summary of the invention
The object of the invention is to be to provide a kind of method of utilizing smart mobile phone photographic head to detect heart rate, the method, without by other any Medical Equipmentes, only need cover finger on photographic head, will simulate ecg wave form, measures real-time heart rate.
The object of the invention is to be achieved through the following technical solutions:
(1) user covers finger on photographic head, and photographic head carries out continuous acquisition to image;
(2) extract the half-tone information in each two field picture, the half-tone information of each two field picture is added up, as each two field picture overall gray value, the overall gray value of consecutive image forms the waveform of blood grey scale change;
(3) waveform is carried out to pretreatment, remove baseline drift, smoothing denoising;
(4) each peak value of extraction waveform, determines the frame number between each adjacent peak value, calculates real-time heart rate;
(5) waveshape signal extracting is carried out to convergent-divergent, simulate ambulatory electrocardiogram.
Each heart beating all can make the oxygen content in blood increase, and after health consumes, the oxygen content of blood can reduce again, so blood color is because the variation of oxygen content can produce periodically-varied.In blood, oxygen content increases, and blood color is cerise, and after health consumes the oxygen in blood, blood becomes kermesinus.But this variation is to be with the naked eye difficult to observe out.The present invention proposes a kind of photographic head that utilizes smart mobile phone and detect anywhere or anytime own a kind of method of heart rate in real time, and simulate ambulatory electrocardiogram and be used for observing changes in heart rate.The method is by covering finger on mobile phone camera, by gathering consecutive image, the blood catching on finger changes with the periodic small light and shade of heartbeat, this light and shade is changed and shown with waveform, be used for simulating ambulatory electrocardiogram, observation cardiac rhythm changes, and calculates the peak-to-peak interval of adjacent wave and calculate real-time heart rate.
This method tool has the following advantages:
(1) need not just can be more accurate by other Medical Equipmentes measure heart rate, by the slight change of blood color, simulate Electrocardiographic roughly tendency, be convenient to observe cardiac rhythm and change.
(2) meet real-time, portability.
Accompanying drawing explanation
Fig. 1 is crest testing result figure.
The specific embodiment
Below technical scheme of the present invention is further described, but is not limited to this, every technical solution of the present invention is modified or is equal to replacement, and do not depart from the spirit and scope of technical solution of the present invention, all should be encompassed in protection scope of the present invention.
The method of utilizing the photographic head of smart mobile phone to detect heart rate provided by the invention, comprises the following steps:
1, image acquisition: user covers finger on photographic head, photographic head continuous acquisition image.
2, data acquisition: extract the half-tone information in each two field picture, the each grey scale pixel value in each two field picture is cumulative, and its value represents the overall gray value of this two field picture, as a frame signal, continuous signal forms the waveform of blood grey scale change.
The present invention realizes under Android system, and the primary image storage format of Android system photographic head is YUV420SP.Wherein Y representation in components monochrome information, UV represents color information.So we only need the value of the Y component of each two field picture to add up, and obtain the overall gray value of a two field picture, as a frame signal.
3, waveform pretreatment: waveshape signal is removed to baseline drift, smoothing denoising processing.
Because human body respiration or the mobile light and shade variation meeting causing of finger impact waveshape signal, need to remove baseline drift processing.In order to guarantee high efficiency and real-time, we adopt median filtering method to go baseline drift to signal here.Its principle is exactly, drift value using the intermediate value of the data of certain some regular length the last period as this point, deducts the drift value of changing the time with this signal value, obtain this point and remove the signal value after drift value, whole segment signal is all done to such processing according to this, obtain removing the waveform after drift value.
The waveform of removing after drift value adopts the template of 1:2:1 to carry out smoothing denoising to waveform.Be multiplied by 2 by current demand signal value numerical value, add the value of a previous and rear signal adjacent with current demand signal, result divided by 4 as the signal value after this smothing filtering.The object of smoothing denoising be for after waveform processing process in, exclude noise on crest detect impact.
4, waveform processing: the crest location in detection waveform, calculates current heart rate according to the peak-to-peak interval of each adjacent wave.
Pretreated signal is carried out to the detection of crest, the crest ratio of pretreated waveform is more outstanding, so we adopt threshold method to detect crest.The steps include: that (1) get the maximum Max of set time the last period of current point; (2) take Max/2 as threshold value, waveform is cut apart, as shown in Figure 1; (3) waveform after cutting apart, the waveform of only considering to be greater than this threshold value of Max/2 is the waveform above gray area in figure.Get the maximum in each discrete waveform, be crest value.
Detect after crest, calculate the peak-to-peak interval of adjacent wave, the i.e. peak-to-peak frame number of ripple.With the meansigma methods avg of adjacent several peak separations before current demand signal, and the frame number f of known photographic head collection image per second, just can calculate current heart rate r=60*f/avg.
5, waveform is carried out to suitable scaling, the ambulatory electrocardiogram simulating can observe heart whether have allorhythmia.
Claims (6)
1. utilize smart mobile phone photographic head to detect a method for heart rate, it is characterized in that described method step is as follows:
User covers finger on photographic head, and photographic head carries out continuous acquisition to image;
Extract the half-tone information in each two field picture, the half-tone information of each two field picture is added up, as each two field picture overall gray value, the overall gray value of consecutive image forms the waveform of blood grey scale change;
Waveform is carried out to pretreatment, remove baseline drift, smoothing denoising;
Extract each peak value of waveform, determine the frame number between each adjacent peak value, calculate real-time heart rate;
The waveshape signal extracting is carried out to convergent-divergent, simulate ambulatory electrocardiogram.
2. a kind of method of utilizing smart mobile phone photographic head to detect heart rate according to claim 1, is characterized in that in described step (3), adopts median filtering method to go baseline drift to signal.
3. a kind of method of utilizing smart mobile phone photographic head to detect heart rate according to claim 1, is characterized in that in described step (3), adopts the template of 1:2:1 to carry out smoothing denoising to waveform.
4. a kind of method of utilizing smart mobile phone photographic head to detect heart rate according to claim 1, is characterized in that in described step (4), adopts threshold method to extract crest.
5. a kind of method of utilizing smart mobile phone photographic head to detect heart rate according to claim 4, is characterized in that the method that adopts threshold method to extract crest is as follows: (1) gets the maximum Max of set time the last period of current point; (2) take Max/2 as threshold value, waveform is cut apart; (3) waveform after cutting apart, the waveform of only considering to be greater than this threshold value of Max/2 is the waveform above gray area in figure.
6. a kind of method of utilizing smart mobile phone photographic head to detect heart rate according to claim 1, it is characterized in that in described step (4), heart rate r=60*f/avg in real time, wherein, avg: the meansigma methods avg of adjacent several peak separations before current demand signal, f: the frame number of photographic head collection image per second.
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| CN105030217A (en) * | 2015-06-09 | 2015-11-11 | 吉林大学 | Portable motion monitoring and detecting equipment and motion monitoring and detecting method |
| CN105266772A (en) * | 2014-06-20 | 2016-01-27 | 赵海 | Measuring method for physiological parameter |
| CN105615862A (en) * | 2015-12-21 | 2016-06-01 | 珠海格力电器股份有限公司 | Method and device for detecting heart rate |
| CN105740627A (en) * | 2016-01-29 | 2016-07-06 | 深圳市奋达科技股份有限公司 | Heart rate calculating method and device |
| CN105877730A (en) * | 2016-03-21 | 2016-08-24 | 联想(北京)有限公司 | Heart rate detecting method and device and electronic equipment |
| CN106073745A (en) * | 2016-06-15 | 2016-11-09 | 西北工业大学 | Heart rate detection method based on smart mobile phone |
| CN106373111A (en) * | 2016-08-30 | 2017-02-01 | 苏州品诺维新医疗科技有限公司 | Heart rate detection device and method for obtaining heart rate variation waveform |
| CN106377269A (en) * | 2016-08-03 | 2017-02-08 | 广东技术师范学院 | College student health physical fitness detection method based on intelligent mobile phone |
| CN106446582A (en) * | 2016-10-18 | 2017-02-22 | 江西博瑞彤芸科技有限公司 | Image processing method |
| CN106504235A (en) * | 2016-10-18 | 2017-03-15 | 北京博瑞彤芸文化传播股份有限公司 | Rhythm of the heart method based on image procossing |
| CN106651967A (en) * | 2016-10-18 | 2017-05-10 | 北京博瑞彤芸文化传播股份有限公司 | Blood viscosity monitoring method based on image processing |
| CN107595271A (en) * | 2017-07-27 | 2018-01-19 | 康美健康云服务有限公司 | Method for measuring heart rate, electronic equipment, storage medium and system based on mobile phone |
| CN108937905A (en) * | 2018-08-06 | 2018-12-07 | 合肥工业大学 | A kind of contactless heart rate detection method based on signal fitting |
| CN111214218A (en) * | 2020-01-13 | 2020-06-02 | 京东方科技集团股份有限公司 | Detection equipment for multiple physiological parameters |
| CN111466902A (en) * | 2020-01-06 | 2020-07-31 | 南开大学 | Method for measuring zebra fish heart rate by using fluorescence signal difference |
| CN113975126A (en) * | 2021-11-03 | 2022-01-28 | 上海清宁熙健康科技有限公司 | Heartbeat monitoring structure for electric vibration health-care chair |
| CN114305373A (en) * | 2021-12-31 | 2022-04-12 | 佳禾智能科技股份有限公司 | Exercise heart rate monitoring earphone |
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| CN105266772A (en) * | 2014-06-20 | 2016-01-27 | 赵海 | Measuring method for physiological parameter |
| CN105266772B (en) * | 2014-06-20 | 2018-07-27 | 赵海 | A kind of measurement method of physiological parameter |
| CN105030217A (en) * | 2015-06-09 | 2015-11-11 | 吉林大学 | Portable motion monitoring and detecting equipment and motion monitoring and detecting method |
| CN105615862A (en) * | 2015-12-21 | 2016-06-01 | 珠海格力电器股份有限公司 | Method and device for detecting heart rate |
| CN105740627A (en) * | 2016-01-29 | 2016-07-06 | 深圳市奋达科技股份有限公司 | Heart rate calculating method and device |
| CN105740627B (en) * | 2016-01-29 | 2019-02-26 | 深圳市奋达科技股份有限公司 | A kind of rate calculation method and device |
| CN105877730A (en) * | 2016-03-21 | 2016-08-24 | 联想(北京)有限公司 | Heart rate detecting method and device and electronic equipment |
| CN106073745A (en) * | 2016-06-15 | 2016-11-09 | 西北工业大学 | Heart rate detection method based on smart mobile phone |
| CN106377269A (en) * | 2016-08-03 | 2017-02-08 | 广东技术师范学院 | College student health physical fitness detection method based on intelligent mobile phone |
| CN106373111A (en) * | 2016-08-30 | 2017-02-01 | 苏州品诺维新医疗科技有限公司 | Heart rate detection device and method for obtaining heart rate variation waveform |
| CN106651967A (en) * | 2016-10-18 | 2017-05-10 | 北京博瑞彤芸文化传播股份有限公司 | Blood viscosity monitoring method based on image processing |
| CN106504235A (en) * | 2016-10-18 | 2017-03-15 | 北京博瑞彤芸文化传播股份有限公司 | Rhythm of the heart method based on image procossing |
| CN106446582A (en) * | 2016-10-18 | 2017-02-22 | 江西博瑞彤芸科技有限公司 | Image processing method |
| CN106504235B (en) * | 2016-10-18 | 2019-05-10 | 北京博瑞彤芸文化传播股份有限公司 | Rhythm of the heart method based on image procossing |
| CN106651967B (en) * | 2016-10-18 | 2019-11-05 | 北京博瑞彤芸文化传播股份有限公司 | Blood viscosity monitoring method based on image procossing |
| CN107595271A (en) * | 2017-07-27 | 2018-01-19 | 康美健康云服务有限公司 | Method for measuring heart rate, electronic equipment, storage medium and system based on mobile phone |
| CN108937905A (en) * | 2018-08-06 | 2018-12-07 | 合肥工业大学 | A kind of contactless heart rate detection method based on signal fitting |
| CN111466902A (en) * | 2020-01-06 | 2020-07-31 | 南开大学 | Method for measuring zebra fish heart rate by using fluorescence signal difference |
| CN111466902B (en) * | 2020-01-06 | 2022-07-29 | 南开大学 | Method for measuring zebra fish heart rate by using fluorescence signal difference |
| CN111214218A (en) * | 2020-01-13 | 2020-06-02 | 京东方科技集团股份有限公司 | Detection equipment for multiple physiological parameters |
| CN111214218B (en) * | 2020-01-13 | 2024-02-09 | 京东方科技集团股份有限公司 | Multi-physiological parameter detection equipment |
| CN113975126A (en) * | 2021-11-03 | 2022-01-28 | 上海清宁熙健康科技有限公司 | Heartbeat monitoring structure for electric vibration health-care chair |
| CN114305373A (en) * | 2021-12-31 | 2022-04-12 | 佳禾智能科技股份有限公司 | Exercise heart rate monitoring earphone |
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Application publication date: 20140528 |