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

Volume

19

Issue

6

fYear

2015

Firstpage

1945

Lastpage

1952

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;

fLanguage

English

Journal_Title

Biomedical and Health Informatics, IEEE Journal of

Publisher

ieee

ISSN

2168-2194

Type

jour

DOI

10.1109/JBHI.2014.2314144

Filename

6780577