Title :
Adaptive Heartbeat Modeling for Beat-to-Beat Heart Rate Measurement in Ballistocardiograms
Author :
Paalasmaa, Joonas ; Toivonen, Hannu ; Partinen, Markku
Author_Institution :
Beddit, Ltd., Espoo, Finland
Abstract :
We present a method for measuring beat-to-beat heart rate from ballistocardiograms acquired with force sensors. First, a model for the heartbeat shape is adaptively inferred from the signal using hierarchical clustering. Then, beat-to-beat intervals are detected by finding positions where the heartbeat shape best fits the signal. The method was validated with overnight recordings from 46 subjects in varying setups (sleep clinic, home, single bed, double bed, two sensor types). The mean beat-to-beat interval error was 13 ms and on an average 54% of the beat-to-beat intervals were detected. The method is part of a home-use e-health system for an unobtrusive sleep measurement.
Keywords :
biomedical equipment; electrocardiography; force sensors; medical signal processing; pattern clustering; sleep; telemedicine; adaptive heartbeat modeling; ballistocardiograms; beat-to-beat heart rate measurement; double bed; force sensors; heartbeat shape; hierarchical signal clustering; home-use e-health system; mean beat-to-beat interval error; sensor types; single bed; sleep clinic; unobtrusive sleep measurement; Biomedical measurement; Force sensors; Heart beat; Heart rate measurement; Heart rate variability; Sleep; Ballistocardiography (BCG); e-health; heart rate measurement;
Journal_Title :
Biomedical and Health Informatics, IEEE Journal of
DOI :
10.1109/JBHI.2014.2314144
