Heartbeat and Respiration Rate Prediction Using Combined Photoplethysmography and Ballisto Cardiography  

作　　者：Valarmathi Ramasamy Dhandapani Samiappan RRamesh 

机构地区：[1]Department of Electronics and Communication Engineering,St.Peter’s College of Engineering,Chennai,600054,Tamilnadu,India [2]Department of Electronics and Communication Engineering,Saveetha Engineering College,Chennai,602104,Tamilnadu,India [3]Department of Electronics and Communication Engineering,Tagore Engineering College,Chennai,600127,Tamilnadu,India

出　　处：《Intelligent Automation & Soft Computing》2023年第5期1365-1380,共16页智能自动化与软计算（英文）

摘　　要：Owing to the recent trends in remote health monitoring,real-time appli-cations for measuring Heartbeat Rate and Respiration Rate(HARR)from video signals are growing rapidly.Photo Plethysmo Graphy(PPG)is a method that is operated by estimating the infinitesimal change in color of the human face,rigid motion of facial skin and head parts,etc.Ballisto Cardiography(BCG)is a non-surgical tool for obtaining a graphical depiction of the human body’s heartbeat by inducing repetitive movements found in the heart pulses.The resilience against motion artifacts induced by luminancefluctuation and the patient’s mobility var-iation is the major difficulty faced while processing the real-time video signals.In this research,a video-based HARR measuring framework is proposed based on combined PPG and BCG.Here,the noise from the input video signals is removed by using an Adaptive Kalmanfilter(AKF).Three different algorithms are used for estimating the HARR from the noise-free input signals.Initially,the noise-free sig-nals are subjected to Modified Adaptive Fourier Decomposition(MAFD)and then to Enhanced Hilbert vibration Decomposition(EHVD)andfinally to Improved Var-iation mode Decomposition(IVMD)for attaining three various results of HARR.The obtained values are compared with each other and found that the EHVD is showing better results when compared with all the other methods.

关 键 词：Heartbeat rate and respiration rate PHOTOPLETHYSMOGRAPHY BALLISTOCARDIOGRAPHY adaptive kalmanfilter 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]