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Unsupervised classification of ventricular extrasystoles using bounded clustering algorithms and morphology matching

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Abstract

Ventricular extrasystoles (VE) are ectopic heartbeats involving irregularities in the heart rhythm. VEs arise in response to impulses generated in some part of the heart different from the sinoatrial node. These are caused by the premature discharge of a ventricular ectopic focus. VEs after myocardial infarction are associated with increased mortality. Screening of VEs is typically a manual and time consuming task that involves analysis of the heartbeat morphology, QRS duration, and variations of the RR intervals using long-term electrocardiograms. We describe a novel algorithm to perform automatic classification of VEs and report the results of our validation study. The proposed algorithm makes use of bounded clustering algorithms, morphology matching, and RR interval length to perform automatic VE classification without prior knowledge of the number of classes and heartbeat features. Additionally, the proposed algorithm does not need a training set.

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Authors and Affiliations

  1. Technological Institute of Informatics, Polytechnic University of Valencia, Campus Alcoi Plaza Ferrándiz y Carbonell, 2, 03801, Alcoi, Spain

    David Cuesta-Frau & Pau Micó-Tormos

  2. Cardiac Electrophysiology Laboratory, Department of Physiology, Favaloro University, Buenos Aires, Argentina

    Marcelo O. Biagetti & Ricardo A. Quinteiro

  3. Department of Electronics Engineering Technology, Oregon Institute of Technology, Oregon, USA

    Mateo Aboy

Authors
  1. David Cuesta-Frau
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  2. Marcelo O. Biagetti
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  3. Ricardo A. Quinteiro
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  4. Pau Micó-Tormos
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  5. Mateo Aboy
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Correspondence to David Cuesta-Frau.

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Cuesta-Frau, D., Biagetti, M.O., Quinteiro, R.A. et al. Unsupervised classification of ventricular extrasystoles using bounded clustering algorithms and morphology matching. Med Bio Eng Comput 45, 229–239 (2007). https://doi.org/10.1007/s11517-006-0118-1

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  • DOI: https://doi.org/10.1007/s11517-006-0118-1

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