Document Detail

Applying machine learning to detect individual heart beats in ballistocardiograms.
MedLine Citation:
PMID:  21097213     Owner:  NLM     Status:  MEDLINE    
Ballistocardiography is a technique in which the mechanical activity of the heart is recorded. We present a novel algorithm for the detection of individual heart beats in ballistocardiograms (BCGs). In a training step, unsupervised learning techniques are used to identify the shape of a single heart beat in the BCG. The learned parameters are combined with so-called "heart valve components" to detect the occurrence of individual heart beats in the signal. A refinement step improves the accuracy of the estimated beat-to-beat interval lengths. Compared to other algorithms this new approach offers heart rate estimates on a beat-to-beat basis and is designed to cope with arrhythmias. The proposed algorithm has been evaluated in laboratory and home settings for its agreement with an ECG reference. A beat-to-beat interval error of 14.16 ms with a coverage of 96.87% was achieved. Averaged over 10 s long epochs, the mean heart rate error was 0.39 bpm.
Christoph Bruser; Kurt Stadlthanner; Andreas Brauers; Steffen Leonhardt
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  2010     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2010  
Date Detail:
Created Date:  2010-11-24     Completed Date:  2011-03-29     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1926-9     Citation Subset:  IM    
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MeSH Terms
Arrhythmias, Cardiac / diagnosis,  physiopathology
Artificial Intelligence*
Ballistocardiography / methods*
Equipment Design
Heart Rate*
Heart Valves / pathology
Middle Aged
Reproducibility of Results
Signal Processing, Computer-Assisted*
Time Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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