e-space
Manchester Metropolitan University's Research Repository

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

    Collins, Timothy ORCID logoORCID: 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, 16 December 2020 - 18 December 2020, Arlington, VA, USA.

    [img]
    Preview
    Accepted Version
    Available under License In Copyright.

    Download (265kB) | Preview

    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.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    142Downloads
    6 month trend
    186Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record