Activity Type Effects Signal Quality in Electrocardiogram Devices

Electrocardiogram (ECG) devices are commonly used to monitor heart rate (HR) and heart rate variability (HRV), but their signal quality under non-upright or torso-dominant activities may suffer due to motion artifact and interference from surrounding musculature. We compared ECG signal quality during treadmill walking, circuit training, and an obstacle course using three chest-worn commercial devices (Polar H10, Equivital EQ-02, and Zephyr BioHarness 3.0) and a multi-lead ECG monitor (BIOPAC). Signal quality was quantified using the beat signal quality index (SQI), and HR data were rejected if SQI fell below 0.7 or if values were physiologically implausible. Signal rejection rate was calculated as the proportion of low-quality observations across device and activity type. Significant effects of both device (<i>p</i> < 0.001) and activity (<i>p</i> < 0.001) were observed, with greater signal rejection during the obstacle course and circuit training compared to treadmill walking (<i>p</i> < 0.01). The Zephyr exhibited significantly higher rejection rates than the Polar (<i>p</i> = 0.018) and BIOPAC (<i>p</i> = 0.017), while the Polar showed lower average rejection rates across all activities. These findings underscore the importance of including dynamic, non-upright tasks in ECG validation protocols and suggest that certain commercial devices may be more robust under realistic conditions.

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Publication Details

Journal
Sensors
Published
2025-08-20
DOI
https://doi.org/10.3390/s25165186
Citations
3
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
4.16

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article

Activity Type Effects Signal Quality in Electrocardiogram Devices

Jae Kun Shim, Bryndan Lindsey, Joel R. Martin, Jin‐Oh Hahn et al.
3 citations
Sensors
ECG Monitoring and Analysis
4.16
article

Activity Type Effects Signal Quality in Electrocardiogram Devices

Jae Kun Shim, Bryndan Lindsey, Joel R. Martin, Jin‐Oh Hahn, Samantha J. Snyder, Yuanyuan Zhou, William A. Evans
article en
3 citations

Abstract

Electrocardiogram (ECG) devices are commonly used to monitor heart rate (HR) and heart rate variability (HRV), but their signal quality under non-upright or torso-dominant activities may suffer due to motion artifact and interference from surrounding musculature. We compared ECG signal quality during treadmill walking, circuit training, and an obstacle course using three chest-worn commercial devices (Polar H10, Equivital EQ-02, and Zephyr BioHarness 3.0) and a multi-lead ECG monitor (BIOPAC). Signal quality was quantified using the beat signal quality index (SQI), and HR data were rejected if SQI fell below 0.7 or if values were physiologically implausible. Signal rejection rate was calculated as the proportion of low-quality observations across device and activity type. Significant effects of both device (<i>p</i> < 0.001) and activity (<i>p</i> < 0.001) were observed, with greater signal rejection during the obstacle course and circuit training compared to treadmill walking (<i>p</i> < 0.01). The Zephyr exhibited significantly higher rejection rates than the Polar (<i>p</i> = 0.018) and BIOPAC (<i>p</i> = 0.017), while the Polar showed lower average rejection rates across all activities. These findings underscore the importance of including dynamic, non-upright tasks in ECG validation protocols and suggest that certain commercial devices may be more robust under realistic conditions.

SensorsVol. 25(16)
George Mason University (US), Elon University (US), Johns Hopkins University Applied Physics Laboratory (US), University of Maryland, College Park (US), MedStar Health (US)
Office of Naval Research, Naval Sea Systems Command
Openalex Percentile: Top 5%
ECG Monitoring and Analysis
4.16
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