Research On Non-contact Physiological Parameter Detection Technology Based On IPPG

The detection of human physiological parameters can help people understand the health status of the body and treat diseases in time,which is of great significance in the medical system.The non-contact physiological parameter detection method of Imaging Photoplethysmography(IPPG)technology avoids the contact between human body and instrument,and makes home monitoring and remote actual-time monitoring materialize.Besides,it has the virtue of cost effective,simple operation and good practical application value.However,it also faces the challenges of difficult removal of signal motion artifacts and poor real-time performance.Based on the above background,this paper studies the current situation and background of non-contact detection of physiological parameters based on IPPG,designs the acquisition scheme of pulse wave,and carries out a series of experimental studies on the detection of heart rate and blood oxygen saturation.The main research contents are as follows:First,the hardware platform of non-contact physiological parameter detection system based on IPPG is designed.Notebook computer and its own camera and mobile phone camera are selected as the video signal acquisition equipment,which reduces the cost of the system and is easy to operate.Through the study of camera response spectrum curve and hemoglobin spectrum absorption curve,the filter needed for blood oxygen saturation detection is selected,which effectively simplifies the mathematical model of blood oxygen saturation.Second,the extraction scheme of IPPG signal is studied,and the most suitable region of interest is found through comparative experiments.SIFT algorithm is selected for video image registration,and a better benchmark selection scheme for eliminating motion artifacts is found through comparative experiments,which effectively reduces the influence of motion artifacts.Euler amplification algorithm is used to amplify and extract the video color change signal,and the outliers are removed by 3? method,and the gray mean value data of R,G and B channels are obtained.Finally,the results are compared IPPG signal was obtained.Third,this chapter designed a non-contact heart rate detection scheme based on IPPG,analyzed the non-contact measure method of heart rate physiological basis,from two aspects of time domain and frequency domain to establish the mathematical model to calculate the heart rate,based on adaptive noise complete empirical mode decomposition algorithm and wavelet transform and band-pass filter the IPPG signal denoising,the pulse wave signal detection,the experimental results show that the design in this paper,non-contact heart rate detection scheme of high accuracy,can replace refers to the clip-on oximetry test the heart rate.Fourth,a non-contact detection scheme of oxyhemoglobin saturation based on IPPG was designed,and the calculation model of oxyhemoglobin saturation was established,and the formula was calibrated in a small range through experiments.A face detection algorithm is selected to replace SIFT algorithm to achieve image alignment,which effectively reduces the interference of motion false error.An modified variational mode decomposition algorithm based on fireworks algorithm is proposed,which can effectively denoise IPPG signals,and then pulse wave is extracted by wavelet transform.The experimental results show that the method has high accuracy in the calibration range.