Journal article Open Access

Adaptive Beat-to-Beat Heart Rate Estimation in Ballistocardiograms

Brüser, Christoph; Stadlthanner, Kurt; de Waele, Stijn; Leonhardt, Steffen

A ballistocardiograph records the mechanical activity of the heart. We present a novel algorithm for the detection of individual heart beats and beat-to-beat interval lengths in ballistocardiograms (BCGs) from healthy subjects. An automatic training step based on unsupervised learning techniques is used to extract the shape of a single heart beat from the BCG. Using the learned parameters, the occurrence of individual heart beats in the signal is detected. A final refinement step improves the accuracy of the estimated beat-to-beat interval lengths. Compared to many existing algorithms, the new approach offers heart rate estimates on a beat-to-beat basis. The agreement of the proposed algorithm with an ECG reference has been evaluated. A relative beat-to-beat interval error of 1.79% with a coverage of 95.94% was achieved on recordings from 16 subjects.

Files (1.8 MB)
Name Size
article.pdf
md5:115f6023a4b13cf1b7952ce999573f5f
1.8 MB Download
138
27
views
downloads
Views 138
Downloads 27
Data volume 49.2 MB
Unique views 138
Unique downloads 24

Share

Cite as