Psychological Stress Assessment And Bio-feedback Training System Based On Multiple Physiological Parameters

With the accelerated pace of modern life,people in all fields are suffering from various life and work pressures,and therefore many people with mental and psychological illnesses.At present,most of the treatments for this disease in China use drug treatment,but this treatment will not only make patients dependent on it,but also bring expensive medical expenses.The new treatment biofeedback technology avoids the side effects and long-term medical expenses of patients who use medicine for a long time.This has attracted the attention of doctors and experts in related fields,and has been applied in foreign clinical practice.However,there are not many biofeedback systems for independent research and development in China.However,the introduction of foreign equipment is expensive and the equipment operation is complicated.Therefore,it is of great significance for biofeedback technology research.In this paper,the following aspects and innovations are mainly covered:(1)A mobile physiological signal acquisition system is designed,which can collect ECG signals and PPG signals at the same time.The specific process of the system is: collecting the ECG signal and the PPG signal at the collection end,receiving the physiological signal at the mobile terminal and uploading using the network,displaying the physiological signal waveform,and the cloud platform storing the user data and the physiological signal waveform(2)The physiological signals used in this study to study psychological stress biofeedback include: ECG signal,photoelectric volume pulse wave signal(PPG).For ECG signal preprocessing we use the corresponding bandpass filter,"double slope" processing,low pass filter and sliding window product,using the improved relative energy(Rel-En)algorithm and findpeak function to obtain the peak point of the ECG signal,will the adjacent peak points take the difference to obtain a heart rate variability(HRV)signal.For the preprocessing of the photoplethysmographic pulse wave signal,we use bandpass filtering,differential,square,sliding window integral,extract the peak point of the PPG signal using the improved PT algorithm,and obtain the pulse rate variability(PRV)of the adjacent peak point decimation.The HRV and PRV characteristic parameters are analyzed from the time domain,the frequency domain,and nonlinear.(3)By analyzing the time domain and frequency domain of HRV and PRV,the correlation between HRV parameters and PRV parameters is studied.(4)Design a psychological stress feedback training experiment based on HRV and PRV,including experimental design method,step flow and result analysis,using PRV to assess the degree of psychological stress.