Using Flexible Curved Noncontact Active Electrodes to Monitor Long-Term Heart Rate Variability

The purpose of this study is to utilize flexible curved noncontact active electrodes to develop a nonperception, long-term, and wireless heart rate monitoring system. This study also verified the functions and capabilities of the system and provided information on physiological parameters recorded d...

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Main Authors: Ji-Jer Huang, Zhe-Lin Cai
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Journal of Healthcare Engineering
Online Access:http://dx.doi.org/10.1155/2020/8867712
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spelling doaj-19431fd0c3a4461086c3871d52178d042020-11-25T03:12:38ZengHindawi LimitedJournal of Healthcare Engineering2040-22952040-23092020-01-01202010.1155/2020/88677128867712Using Flexible Curved Noncontact Active Electrodes to Monitor Long-Term Heart Rate VariabilityJi-Jer Huang0Zhe-Lin Cai1Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan City 71005, TaiwanDepartment of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan City 71005, TaiwanThe purpose of this study is to utilize flexible curved noncontact active electrodes to develop a nonperception, long-term, and wireless heart rate monitoring system. This study also verified the functions and capabilities of the system and provided information on physiological parameters recorded during our tests. Our system was used in tandem with a commercially standard measurement system; both systems were used to measure ECG signals on 10 healthy subjects under the simulated home and office scenarios. We verified the R-peak measurement accuracy of our system and used T-tests to analyze the data collected by both systems; our system reached an average sensitivity value of 0.983 and an average positive predictive value of 0.991 over several different scenarios where R-peak measurements were also highly accurate. The R-R time intervals of our system were highly consistent with the standard system. The correlation coefficient calculated reached almost one, and the differences between the two systems mostly fell within the ±10 ms range. Further study of the HRV time-domain parameters under four different scenarios showed no significant differences in most HRV parameters compared to the measurements by the standard system. We also used our system to record long-term heart rate signals.http://dx.doi.org/10.1155/2020/8867712
collection DOAJ
language English
format Article
sources DOAJ
author Ji-Jer Huang
Zhe-Lin Cai
spellingShingle Ji-Jer Huang
Zhe-Lin Cai
Using Flexible Curved Noncontact Active Electrodes to Monitor Long-Term Heart Rate Variability
Journal of Healthcare Engineering
author_facet Ji-Jer Huang
Zhe-Lin Cai
author_sort Ji-Jer Huang
title Using Flexible Curved Noncontact Active Electrodes to Monitor Long-Term Heart Rate Variability
title_short Using Flexible Curved Noncontact Active Electrodes to Monitor Long-Term Heart Rate Variability
title_full Using Flexible Curved Noncontact Active Electrodes to Monitor Long-Term Heart Rate Variability
title_fullStr Using Flexible Curved Noncontact Active Electrodes to Monitor Long-Term Heart Rate Variability
title_full_unstemmed Using Flexible Curved Noncontact Active Electrodes to Monitor Long-Term Heart Rate Variability
title_sort using flexible curved noncontact active electrodes to monitor long-term heart rate variability
publisher Hindawi Limited
series Journal of Healthcare Engineering
issn 2040-2295
2040-2309
publishDate 2020-01-01
description The purpose of this study is to utilize flexible curved noncontact active electrodes to develop a nonperception, long-term, and wireless heart rate monitoring system. This study also verified the functions and capabilities of the system and provided information on physiological parameters recorded during our tests. Our system was used in tandem with a commercially standard measurement system; both systems were used to measure ECG signals on 10 healthy subjects under the simulated home and office scenarios. We verified the R-peak measurement accuracy of our system and used T-tests to analyze the data collected by both systems; our system reached an average sensitivity value of 0.983 and an average positive predictive value of 0.991 over several different scenarios where R-peak measurements were also highly accurate. The R-R time intervals of our system were highly consistent with the standard system. The correlation coefficient calculated reached almost one, and the differences between the two systems mostly fell within the ±10 ms range. Further study of the HRV time-domain parameters under four different scenarios showed no significant differences in most HRV parameters compared to the measurements by the standard system. We also used our system to record long-term heart rate signals.
url http://dx.doi.org/10.1155/2020/8867712
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