Key result
Wrist-worn actigraphy successfully identified pulse waves during sleep, with 81% of detected pulse wave intervals correctly matching ECG R-peak intervals and demonstrating a median Pearson cross-correlation of 0.94.
Why the study?
Modern accelerometers provide high temporal and intensity resolution, offering the opportunity to evaluate whether pulse waves and heartbeats can be detected from human wrist acceleration data during sleep.
Does wrist-worn actigraphy accurately detect pulse waves and heartbeats compared to ECG in adults during sleep?
Observational (n=363)
No
Does wrist-worn actigraphy accurately detect pulse waves and heartbeats compared to ECG in adults during sleep?
Effect estimate: Pearson cross-correlation 0.94
Wrist-worn actigraphy can accurately detect nocturnal heartbeat intervals and pulse waves during stationary sleep periods, offering a potential alternative to ECG for long-term ambulatory monitoring.
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May enable non-invasive sleep monitoring; leaves open prospective validation in clinical cohorts.
Zschocke et al. (2019) conducted an observational in Sleep disorders (n=363). Wrist-worn actigraphy vs. Electrocardiogram (ECG) was evaluated on Correct association of detected pulse wave intervals with ECG R peak intervals (Pearson cross-correlation 0.94). Wrist-worn actigraphy successfully identified pulse waves during sleep, with 81% of detected pulse wave intervals correctly matching ECG R-peak intervals and demonstrating a median Pearson cross-correlation of 0.94.
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