Non-contact Real-time Heart Rate Measurement Algorithm Based On PPG-standard Deviation

Non-contact heart rate measurement technology has become an important in the fields of smart medical,big data,and the Internet of Things.Therefore,it has important research and application value.Heart rate is an important physiological parameter for clinical diagnosis and can infer human health.This paper is based on computer vision and image processing technology and focuses on the pixel value noise caused by sudden changes in ambient light and has carried out research on the photoelectric volume pulse wave extraction algorithm.In the traditional heart rate measurement algorithm,the main innovations and researches of this paper are as follows:(1)Aiming at the error caused by the sudden change of ambient light,a more stable pulse wave extraction algorithm was studied.This paper uses photoelectric plethysmography to establish a non-contact heart rate measurement model,and proposes a non-contact heart rate measurement algorithm for standard deviation.This method extracts the standard deviation signal of the region of interest for processing.The simulation results show that the algorithm proposed in this paper solves the problem of the impact of sudden changes in ambient light on the pulse wave,it improves the accuracy of non-contact heart rate measurement and has good application prospects in smart medical care and smart pension,and improves the cardiovascular disease cure rate.(2)In order to filter the heart rate signal,a photoelectric volume pulse wave signal filtering algorithm was studied.In this paper,a forward and inverse Fourier transform method is used to establish a filtering model,and an algorithm for converting the time-domain signal of a pulse wave into a frequency-domain signal for filtering and then converting it to the time-domain is proposed.Simulation results show that the algorithm proposed in this paper solves the noise problem of pulse wave,reduces the noise impact of pulse wave,and improves the accuracy.In the application of actual scenarios,the periodicity of heart rate changes can be observed more directly,which increases the value of the application.(3)In this paper,an algorithm based on PPG-standard deviation is used to establish a real-time heart rate measurement model.Simulation results show that the algorithm proposed solves the error problem caused by sudden changes in ambient light,and the surveyor can intuitively observe the periodicity of the pulse transformation.The accuracy of the non-contact heart rate measurement is improved,and the realization is improved in terms of the popularity of heart rate detection.