This analysis reveals a strong correlation in heart rate dynamics during physical activity in free-living conditions, indicating potential health monitoring benefits.
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 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. The approach provides a promising framework for noninvasive, continuous monitoring of cardiovascular responses in everyday health and wellness applications.
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Yuda et al. (2025) studied this question.
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