Evaluation of a Multi-Axes Multi-Channel Heartbeat Detection Algorithm in Ballistocardiography

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.