Emission Modelling for Supervised ECG Segmentation using Finite Differences: Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering - MBEC 2008

Benoît Frénay, Gaël de Lannoy, Michel Verleysen

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

Abstract

The segmentation of ECG signals into P waves, QRS complexes, T waves and baselines is an important practical problem for physicians diagnosing cardiac diseases. The duration of the signal and the number of beats to segment are often too large for a manual annotation, so that automatic segmentation is a challenging and useful tool. State-of-the-art algorithms use hidden Markov models with wavelet transform encoding and represent the ECG in multidimensional spaces using Gaussian mixtures models. The main problem of this approach is its computational cost due to the number of free parameters, the choice of the wavelet transform parameters and the high failure rate of the EM algorithm. In this work, we propose an alternative emission encoding for hidden Markov models using both the ECG signal and its derivative in order to better model the dynamics of the signal in a lower dimensional space. We show that this method achieves similar performances with much less model parameters and is less subject to failures. © 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
Pages1212-1216
Number of pages5
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 segmentation
  • Emission modelling
  • Finite differences
  • Hidden Markov models
  • QT database

Fingerprint Dive into the research topics of 'Emission Modelling for Supervised ECG Segmentation using Finite Differences: 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

    Frénay, B., de Lannoy, G., & Verleysen, M. (2008). Emission Modelling for Supervised ECG Segmentation using Finite Differences: 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. 1212-1216). Springer Verlag. https://doi.org/10.1007/978-3-540-89208-3_290