| Cardiovascular diseases pose a serious threat to human health.According to the blue book on the current situation of prevention and treatment of cardiovascular diseases in China released in Beijing in 2019,the number of people dying from cardiovascular diseases accounts for 41%of all deaths in China every year.Cardiovascular diseases have a great impact on people's healthy life.In order to effectively prevent cardiovascular diseases,it is of great significance to realize real-time continuous measurement of physiological parameters such as heart rate,blood pressure,oxygen saturation and respiratory rate.Traditional physiological parameter measurement methods often have problems such as poor portability and complicated measurement,which are not conducive to real-time measurement of physiological parameters.Human pulse waves are caused by changes in blood volume caused by the beating of the heart.They contain a large amount of physiological information and can usually be used to measure physiological parameters.Photoplethysmography(PPG)signals are used to collect pulse wave signals based on the characteristics that the absorption of blood to light will change with the change of blood volume.This method is simple and suitable for long-term signal collection,which can realize continuous physiological parameter measurement.In this paper,the photoelectric volume pulse wave is used to analyze the relationship between pulse wave and physiological parameters,and the measurement model of heart rate,blood pressure,oxygen saturation and respiratory rate is designed to realize real-time monitoring of physiological parameters.Aiming at PPG signals for real-time measuring the parameters of the physiological problems,we study the motion noise elimination,physiological parameter model building technology,put forward the combined multichannel parallel adaptive filtering technology to filter out noise.Meanwhile,the heart rate algorithm combined with the multi-parameter and the algorithm of respiration rate combined with a variety of ways are proposed,we designed and implemented physiological parameters measurement system based on PPG signals,the paper's main work and work as below:1?This paper studied the denoising technology of photoelectric volumetric pulse wave signal affected by motion noise,proposed a parallel adaptive filtering algorithm combining multiple channels,designs a parallel adaptive filter,and improves the stability of the filtering algorithm.2?This paper studied the physiological parameter measurement model based on PPG signal,and analyzed the physiological parameter measurement algorithm,including the heart rate algorithm in time domain and frequency domain,blood pressure algorithm based on pulse wave conduction time and characteristic parameter fitting,blood oxygen saturation algorithm based on empirical formula,respiration rate algorithm based on filter and feature.3?A dynamic heart rate measurement method is proposed,and a multi?parameter heart rate algorithm is designed to estimate the heart rate by using a variety of parameters that may affect the heart rate,which greatly improves the effect of heart rate measurement.A new method for calculating the respiratory rate is proposed,which combines the results of various calculation methods as the final respiratory rate,and enhances the stability of respiratory rate measurement.4?The experiment of physiological parameter measurement is designed,the proposed algorithm is applied,and the validity of the algorithm is verified by its own data set and the data set on the Internet.For the heart rate experiment,the average absolute error was 1.1 6±1.56BPM in the published data set,which was better than other algorithms.The mean absolute error of SBP was 2.66±5.01mmHg,and that of DBP was 1.65±2.67mmHg.The mean absolute error of blood oxygen saturation was 0.93%.The optimal average absolute error of respiration rate experiment was 1.72±3.09BPM.Experimental results show that the proposed algorithm is effective and has certain academic significance and market application value. |
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