Poster: Heart Rate Performance of a Medical-Grade Data Streaming Wearable Device

Collins, Timothy ORCID: https://orcid.org/0000-0003-2841-1947, Rukasha, Tendai and Woolley, Sandra (2021) Poster: Heart Rate Performance of a Medical-Grade Data Streaming Wearable Device. In: CHASE 2020: The Fifth IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies, 17 December 2020 - 18 December 2020, Arlington, VA, USA.

Preview

Download (265kB) | Preview

Official URL: https://ieeexplore.ieee.org/document/9327939

Abstract

Wrist-worn devices afford convenient and unobtrusive heart rate sensing, however, motion artifacts can lead to unreliable data recordings. This paper evaluates heart rate estimates acquired during treadmill walking and 12 hours of everyday living from a medical-grade Empatica E4 data streaming wristband wearable compared to a Polar H10 chest strap ECG sensor. For treadmill walking, heart rate Mean Absolute Percentage Errors (MAPEs) were between 7.2\% and 29.2\%, and IntraClass Correlations (ICCs) between 0.6 and \nobreakdash-0.5, indicating moderate agreement and strong disagreement, respectively. During 12-hour everyday living acquisitions, heart rate estimate MAPEs were between 5.3\% and 13.5\% and ICCs between 0.7 and 0.1, indicating good to poor agreements.

Item Type:	Conference or Workshop Item (Poster)
Published Proceedings:	2020 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)
Peer-reviewed:	Yes
Date Deposited:	16 Sep 2021 11:00
Publisher:	IEEE
Additional Information:	© 2020 Association for Computing Machinery
Divisions:	Faculties > Science and Engineering
URI:	https://e-space.mmu.ac.uk/id/eprint/626623
DOI:	https://doi.org/10.1145/3384420.3431776

Impact and Reach

Statistics

DownloadsShow export options

Activity Overview

6 month trend

103Downloads

6 month trend

172Hits

Additional statistics for this dataset are available via IRStats2.

Altmetric

Repository staff only

Edit record