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Published on: April 29, 2023
Evaluation of a Multi-Axes Multi-Channel Heartbeat Detection Algorithm in Ballistocardiography
Evgenii Pustozerov1, Urs-Vito Albrecht1
1Department of Digital Medicine, Medical Faculty OWL, Bielefeld University, Bielefeld, Germany.
None:
This study explores the potential for estimating heartbeats and heart rate variability (HRV) parameters using multiple multi-axis ballistocardiographic (BCG) sensors in recording disturbed by speech interference. The results demonstrate that an adaptive approach, which detects and interpolates J-peaks in disturbed signal parts, provides more accurate heartbeat evaluations than relying on any single BCG channel in the same recording.
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