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Robust detection of premature ventricular contractions using a wave-based Bayesian framework.

Abstract:

Detection and classification of ventricular complexes from the ECG is of considerable importance in Holter and critical care patient monitoring, being essential for the timely diagnosis of dangerous heart conditions. Accurate detection of premature ventricular contractions (PVCs) is particularly important in relation to life-threatening arrhythmias. In this paper, we introduce a model-based dynamic algorithm for tracking the ECG characteristic waveforms using an extended Kalman filter. The al...

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Publication status:
Published

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Publisher copy:
10.1109/tbme.2009.2031243

Authors


Shamsollahi, MB More by this author
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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Journal:
IEEE transactions on bio-medical engineering
Volume:
57
Issue:
2
Pages:
353-362
Publication date:
2010-02-05
DOI:
EISSN:
1558-2531
ISSN:
0018-9294
URN:
uuid:ded273c0-45ae-4593-90bc-127160dfd958
Source identifiers:
64814
Local pid:
pubs:64814

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