HRV and Stress: A Mixed-Methods Approach for Comparison of Wearable Heart Rate Sensors for Biofeedback

Stress is one of the most significant health problems in today's world. Existing work has used heart rate variability (HRV) to detect stress and provide biofeedback in order to regulate it. There has been a growing interest in using wearable biosensors to measure HRV. Each of these sensors acqu...

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Main Authors: Muhammad Umair, Niaz Chalabianloo, Corina Sas, Cem Ersoy
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
HRV
Online Access:https://ieeexplore.ieee.org/document/9326296/
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spelling doaj-6b6d3831ce114743bbe53adfa300c4112021-03-30T14:48:05ZengIEEEIEEE Access2169-35362021-01-019140051402410.1109/ACCESS.2021.30521319326296HRV and Stress: A Mixed-Methods Approach for Comparison of Wearable Heart Rate Sensors for BiofeedbackMuhammad Umair0https://orcid.org/0000-0002-0017-9827Niaz Chalabianloo1https://orcid.org/0000-0001-7228-4725Corina Sas2https://orcid.org/0000-0001-9297-9612Cem Ersoy3https://orcid.org/0000-0001-7632-7067School of Computing and Communications, Lancaster University, Lancaster, U.K.Department of Computer Engineering, Boğaziçi University, Istanbul, TurkeySchool of Computing and Communications, Lancaster University, Lancaster, U.K.Department of Computer Engineering, Boğaziçi University, Istanbul, TurkeyStress is one of the most significant health problems in today's world. Existing work has used heart rate variability (HRV) to detect stress and provide biofeedback in order to regulate it. There has been a growing interest in using wearable biosensors to measure HRV. Each of these sensors acquires heart rate data using different technologies for various bodily locations, therefore posing a challenge for researchers to decide upon a particular device in a research experiment. Previous work has only compared different sensing devices against a gold standard in terms of data quality, thus overlooking qualitative analysis for the usability and acceptability of such devices. This paper introduces a mixed-methods approach to compare the data quality and user acceptance of the six most common wearable heart rate monitoring biosensors. We conducted a 70-minute data collection procedure to obtain HRV data from 32 participants followed by a 10-minute semi-structured interview on sensors' wearability and comfort, long-term use, aesthetics, and social acceptance. We performed quantitative analysis consisting of correlation and agreement analysis on the HRV data and thematic analysis on qualitative data obtained from interviews. Our results show that the electrocardiography (ECG) chest strap achieved the highest correlation and agreement levels in all sessions and had the lowest amount of artifacts, followed by the photoplethysmography (PPG) wristband, ECG sensor board kit and PPG smartwatch. In all three sessions, wrist-worn devices showed a lower amount of agreement and correlation with the reference device. Qualitative findings from interviews highlight that participants prefer wrist and arm-worn devices in terms of aesthetics, wearability, and comfort, followed by chest-worn devices. Moreover, participants mentioned that the latter are more likely to invite social judgment from others, and they would not want to wear it in public. Participants preferred the chest strap for short-term use and the wrist and arm-worn sensors over long-time.https://ieeexplore.ieee.org/document/9326296/Affective computingbiofeedbackbiosensorsHRVphysiological signalsstress
collection DOAJ
language English
format Article
sources DOAJ
author Muhammad Umair
Niaz Chalabianloo
Corina Sas
Cem Ersoy
spellingShingle Muhammad Umair
Niaz Chalabianloo
Corina Sas
Cem Ersoy
HRV and Stress: A Mixed-Methods Approach for Comparison of Wearable Heart Rate Sensors for Biofeedback
IEEE Access
Affective computing
biofeedback
biosensors
HRV
physiological signals
stress
author_facet Muhammad Umair
Niaz Chalabianloo
Corina Sas
Cem Ersoy
author_sort Muhammad Umair
title HRV and Stress: A Mixed-Methods Approach for Comparison of Wearable Heart Rate Sensors for Biofeedback
title_short HRV and Stress: A Mixed-Methods Approach for Comparison of Wearable Heart Rate Sensors for Biofeedback
title_full HRV and Stress: A Mixed-Methods Approach for Comparison of Wearable Heart Rate Sensors for Biofeedback
title_fullStr HRV and Stress: A Mixed-Methods Approach for Comparison of Wearable Heart Rate Sensors for Biofeedback
title_full_unstemmed HRV and Stress: A Mixed-Methods Approach for Comparison of Wearable Heart Rate Sensors for Biofeedback
title_sort hrv and stress: a mixed-methods approach for comparison of wearable heart rate sensors for biofeedback
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description Stress is one of the most significant health problems in today's world. Existing work has used heart rate variability (HRV) to detect stress and provide biofeedback in order to regulate it. There has been a growing interest in using wearable biosensors to measure HRV. Each of these sensors acquires heart rate data using different technologies for various bodily locations, therefore posing a challenge for researchers to decide upon a particular device in a research experiment. Previous work has only compared different sensing devices against a gold standard in terms of data quality, thus overlooking qualitative analysis for the usability and acceptability of such devices. This paper introduces a mixed-methods approach to compare the data quality and user acceptance of the six most common wearable heart rate monitoring biosensors. We conducted a 70-minute data collection procedure to obtain HRV data from 32 participants followed by a 10-minute semi-structured interview on sensors' wearability and comfort, long-term use, aesthetics, and social acceptance. We performed quantitative analysis consisting of correlation and agreement analysis on the HRV data and thematic analysis on qualitative data obtained from interviews. Our results show that the electrocardiography (ECG) chest strap achieved the highest correlation and agreement levels in all sessions and had the lowest amount of artifacts, followed by the photoplethysmography (PPG) wristband, ECG sensor board kit and PPG smartwatch. In all three sessions, wrist-worn devices showed a lower amount of agreement and correlation with the reference device. Qualitative findings from interviews highlight that participants prefer wrist and arm-worn devices in terms of aesthetics, wearability, and comfort, followed by chest-worn devices. Moreover, participants mentioned that the latter are more likely to invite social judgment from others, and they would not want to wear it in public. Participants preferred the chest strap for short-term use and the wrist and arm-worn sensors over long-time.
topic Affective computing
biofeedback
biosensors
HRV
physiological signals
stress
url https://ieeexplore.ieee.org/document/9326296/
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