Preliminary Study on Heart Rate Response to Physical Activity Using a Wearable ECG and 3-Axis Accelerometer Under Free-Living Conditions

Recent advances in wearable sensing technology have enabled simultaneous measurement of heart activity and body movement using devices equipped with both ECG recording and 3-axis accelerometers. This study examined whether transient heart rate (HR) responses to physical activity can be accurately characterized under free-living conditions. Continuous RR interval data and activity levels derived from accelerometer signals were analyzed using a multivariate autoregressive (MVAR) model. Results from 12 male participants showed a strong correlation between predicted and observed HR responses (r2 = 0.93, r = 0.96, p < 0.001). These findings indicate that up to 93% of transient HR dynamics associated with daily physical activity can be explained by the model. While these results are preliminary due to the limited sample size, the approach provides a promising framework for the noninvasive, continuous monitoring of cardiovascular responses in everyday health and wellness applications.

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Publication Details

Journal
Electronics
Published
2025-09-18
DOI
https://doi.org/10.3390/electronics14183688
Citations
1
Primary Topic
Heart Rate Variability and Autonomic Control
Type
article
Field-Weighted Citation Impact
1.39
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article

Preliminary Study on Heart Rate Response to Physical Activity Using a Wearable ECG and 3-Axis Accelerometer Under Free-Living Conditions

Emi Yuda, Junichiro Hayano
1 citations
Electronics
Heart Rate Variability and Autonomic Control
1.39
article

Preliminary Study on Heart Rate Response to Physical Activity Using a Wearable ECG and 3-Axis Accelerometer Under Free-Living Conditions

Emi Yuda, Junichiro Hayano
article en
1 citations

Abstract

Recent advances in wearable sensing technology have enabled simultaneous measurement of heart activity and body movement using devices equipped with both ECG recording and 3-axis accelerometers. This study examined whether transient heart rate (HR) responses to physical activity can be accurately characterized under free-living conditions. Continuous RR interval data and activity levels derived from accelerometer signals were analyzed using a multivariate autoregressive (MVAR) model. Results from 12 male participants showed a strong correlation between predicted and observed HR responses (r2 = 0.93, r = 0.96, p < 0.001). These findings indicate that up to 93% of transient HR dynamics associated with daily physical activity can be explained by the model. While these results are preliminary due to the limited sample size, the approach provides a promising framework for the noninvasive, continuous monitoring of cardiovascular responses in everyday health and wellness applications.

ElectronicsVol. 14(18)
Mie University (JP), Tohoku University (JP), Nagoya City University (JP)
Openalex Percentile: Top 15%
Heart Rate Variability and Autonomic Control
1.39
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Preliminary Study on Heart Rate Response to Physical Activity Using a Wearable ECG and 3-Axis Accelerometer Under Free-Living Conditions — Emi Yuda, Junichiro Hayano · Electronics (2025) | TGRS Research Map | TGRS