Research On Non-contact Heart Rate、respirato Ry Rate Real-time Measurements Based On High-spe Ed Circuit

Imaging photoplethysmography(IPPG)is based on photoplethysmography, and it is a kind of new contactless physiological signal detection technology with the widely application of the photoelectric imaging device developed, and it has beco me one of the hot research. Around IPPG technology, this paper put forward a ki nd of high speed circuit based imaging non-contact heart rate, breathing rate real-t ime measuring method.In this paper, the heart rate and breathing rate real-time detection system, mai nly divides into video acquisition module, video processing module and the displa y module. Video acquisition module uses a color CCD analog camera. Because of IPPG technology collect pulse wave signal from the image intensity changes, this system chooses camera without light repair function. Video processing module ad opts ICETEK DM6437-A development board, the development board design based on TMS320DM6437 chip. TMS320DM6437 is designed for high performance and low cost video application development, frequency 600 MHz, belong to the 32-bit fixed point DSP DaVinci(TM) technology processor series. The development boa rd is suitable for diagram processing and some commonly used algorithms, meet t he demand of the system. The display module is a color LCD display. Heart rate and breathing rate calculation process is mainly divided into the following steps. First of all, use camera collection image which contains parts of the face. Then, s elect region of interest(This article selects the face area as region of interest), a nd conclusion gray average of ROI(region of interest). Store the grayscale aver age, when storage at fixed frames(128 frames, about 13s) then calculation. With frames as the independent variable, draw grayscale average curve, the curve is the pulse wave. At last, design different frequency band filter(heart rate: 0.7Hz~3H z, breathing rate: 0.15~0.4Hz) to filter the noise of pulse wave. After winning th e heart rate and breathing rate signal, adopt the method of wave crest statistics, calculate the value of heart rate and breathing rate respectively. The acquisition of image formats for YUV4:2:2, the Y component represents brightness information, i n this paper, the grayscale average is the average of Y component. Finally, compa re the independent design heart rate and breathing rate real-time measurement syst em result with the heart rate result of clip-on heart rate measuring instrument and the breathing rate of the Breath Counter. And the system is improved according to the compare results. Results show that the algorithm can be more accurate rese arch measure heart rate, breathing rate, and has strong robustness, reduce the limit ation of the conditions of the equipment use, reduce the personnel operating requi rements. The further research of the algorithm can be measured more human phys iological signals, bring the hope for daily health monitoring.