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Automated localisation and classification of abnormal beats in electrocardiograms using parsimonious wavelet analysis

Published: 26 October 2011 Publication History

Abstract

We report on a work in progress aiming at automatically analysing electrocardiograms with the help of wavelet bases. The objective we have fixed was to introduce a parsimonious and computationally efficient method --- that can be ultimately incorporated on standard ECG recording devices --- to automatically localise points of interest and decide whether they are normal or not and, for abnormal points, assign them a given class of abnormality. The task we have already achieved is the localisation and identification of normal QRS complexes. Identification and localisation of other features, like premature atrial or ventricular beats, fibrillation, noise, bundle branch block beats, ectopic beats, etc. is in progress but the so far obtained preliminary results are very encouraging.

References

[1]
I. Daubechies. Ten lectures on wavelets, volume 61 of CBMS-NSF Regional Conference Series in Applied Mathematics. Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA, 1992.
[2]
A. K. Ka. ECG beats classification using waveform similarity and RR interval. Journal of Medical and Biological Engineering, Jul 2011.
[3]
S. Mallat. A wavelet tour of signal processing. Elsevier/Academic Press, Amsterdam, third edition, 2009. The sparse way, With contributions from Gabriel Peyré.
[4]
L. Senhadji, J.-J. Bellanger, G. Carrault, and G. Passariello. Comparing wavelet transforms for recognizing cardiac patterns. IEEE Engineering in Medicine and Biology Magazine, 14(2):167--173, Mar. 1995. CODEN: IEMBDE INSPEC Accession Number:4930363.

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  1. Automated localisation and classification of abnormal beats in electrocardiograms using parsimonious wavelet analysis

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      cover image ACM Other conferences
      ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
      October 2011
      949 pages
      ISBN:9781450309134
      DOI:10.1145/2093698
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Sponsors

      • Universitat Pompeu Fabra
      • IEEE
      • Technical University of Catalonia Spain: Technical University of Catalonia (UPC), Spain
      • River Publishers: River Publishers
      • CTTC: Technological Center for Telecommunications of Catalonia
      • CTIF: Kyranova Ltd, Center for TeleInFrastruktur

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 26 October 2011

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      Author Tags

      1. discrete wavelet basis decomposition
      2. electrocardiogram (ECG)

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      ISABEL '11
      Sponsor:
      • Technical University of Catalonia Spain
      • River Publishers
      • CTTC
      • CTIF

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