Why the study?
Continuous heart monitoring is essential for cardiovascular disease detection, but ballistocardiogram signals are difficult to detect and process compared to electrocardiograms.
Can a moving auto-correlation sliding-window algorithm accurately estimate heart rate from ballistocardiogram signals extracted by mattress-integrated accelerometers compared to ECG?
Population
A group of volunteers
Comparison
Mattress-integrated accelerometer BCG algorithm vs single-lead ECG reference
Design
Validation study
Authors
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Hypothesis-generating for unobtrusive monitoring; requires prospective validation before clinical consideration.
Can a moving auto-correlation sliding-window algorithm accurately estimate heart rate from ballistocardiogram signals extracted by mattress-integrated accelerometers compared to ECG?
A novel moving auto-correlation algorithm can successfully extract heart rate parameters from ballistocardiogram signals using mattress-integrated accelerometers, enabling unobtrusive continuous cardiac monitoring.
Laurino et al. (2020) studied this question.
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