Supervised ECG Delineation Using the Wavelet Transform and Hidden Markov Models: Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering (MBEC 2008)

Gaël de Lannoy, Benoît Frénay, Michel Verleysen, Jean Delbeke

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Abstract

Clinical monitoring and pharmaceutical phaseone studies require feature extraction from the ECG signal in order to evaluate the state of a patient's heart. Automatic annotation of the characteristic ECG waveforms (or so-called delineation) is therefore of great interest. Hidden Markov Models (HMM) coupled to wavelet transforms (WT) of the ECG signal offer significant improvements over standard heuristic delineation methods. Nevertheless, the choice of the WT parameters remains empirical rather than data-driven. In these conditions, suboptimal parameters for the WT may degrade the results very much. In this paper, an algorithm for the optimal selection of the WT parameter values is introduced. The model complexity is strongly reduced and the algorithm can adapt itself to the specificities of each ECG signal while avoiding redundancy, noise and useless information. Evaluation on recordings from the public MITQT database leads to results higher than with state of the art methods. © 2009 Springer Berlin Heidelberg.

Original languageEnglish
Title of host publicationProceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering (MBEC 2008)
EditorsJ. Vander Sloten, M. Nyssen, P. Verdonck, J. Haueisen
PublisherSpringer Verlag
Pages22-25
Number of pages4
Volume22
ISBN (Print)9783540892076
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event4th European Conference of the International Federation for Medical and Biological Engineering, ECIFMBE 2008 - Antwerp, Belgium
Duration: 23 Nov 200827 Nov 2008

Conference

Conference4th European Conference of the International Federation for Medical and Biological Engineering, ECIFMBE 2008
CountryBelgium
CityAntwerp
Period23/11/0827/11/08

Keywords

  • ECG Delineation
  • Hidden Markov Models
  • MIT QT Database
  • Stepwise forward selection
  • Wavelet Transform

Fingerprint Dive into the research topics of 'Supervised ECG Delineation Using the Wavelet Transform and Hidden Markov Models: Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering (MBEC 2008)'. Together they form a unique fingerprint.

  • Cite this

    de Lannoy, G., Frénay, B., Verleysen, M., & Delbeke, J. (2008). Supervised ECG Delineation Using the Wavelet Transform and Hidden Markov Models: Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering (MBEC 2008). In J. Vander Sloten, M. Nyssen, P. Verdonck, & J. Haueisen (Eds.), Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering (MBEC 2008) (Vol. 22, pp. 22-25). Springer Verlag. https://doi.org/10.1007/978-3-540-89208-3_7