{"title":"HRV Performance Analysis in Photoplethysmography and Electrocardiography","authors":"Subhajit Bhowmick, P. Kundu, D. Das Mandal","doi":"10.1109/CALCON49167.2020.9106418","DOIUrl":null,"url":null,"abstract":"In the recent past, treatment of cardiovascular ailment and related research, stress level estimation in wearable sensor devices have been extensively using Heart rate variability(HRV). Due to some difficulties in ECG (Electrocardiography) measurements, PPG (Photoplethysmography) has evolved out as an alternative to ECG in HRV estimation, as PPG emulates cardiac rhythm. This study presents a reliable estimation of all the traditional HRV parameters from the PPG based method. A portable low-cost device is proposed here for acquiring combined ECG and PPG signals which can monitor, store and communicate to remotely located computers for measurement of HRV parameters. It is a promise to deliver a composite, non-invasive cardiovascular system diagnostic tool.","PeriodicalId":318478,"journal":{"name":"2020 IEEE Calcutta Conference (CALCON)","volume":"489 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Calcutta Conference (CALCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CALCON49167.2020.9106418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In the recent past, treatment of cardiovascular ailment and related research, stress level estimation in wearable sensor devices have been extensively using Heart rate variability(HRV). Due to some difficulties in ECG (Electrocardiography) measurements, PPG (Photoplethysmography) has evolved out as an alternative to ECG in HRV estimation, as PPG emulates cardiac rhythm. This study presents a reliable estimation of all the traditional HRV parameters from the PPG based method. A portable low-cost device is proposed here for acquiring combined ECG and PPG signals which can monitor, store and communicate to remotely located computers for measurement of HRV parameters. It is a promise to deliver a composite, non-invasive cardiovascular system diagnostic tool.
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