Comparing wavelet transforms for recognizing cardiac patterns

Lotfi Senhadji; Jean-Jacques Bellanger; Guy Carrault; Gianfranco Passariello

inserm-00152896, version 1

Comparing wavelet transforms for recognizing cardiac patterns

Lotfi Senhadji ( Author to contact preferably ) ¹, Jean-Jacques Bellanger ¹, Guy Carrault ¹, Gianfranco Passariello ²

IEEE Engineering in Medicine and Biology Magazine 14, 2 (1995) 167-173

Abstract: The authors' study made use of wavelet transforms to describe and recognize isolated cardiac beats. The choice of the wavelet family as well as the selection of the analyzing function into these families are discussed. The criterion used in the first case was the correct classification rate, and in the second case, the correlation coefficient between the original pattern and the reconstructed one. Two types of description have been considered-the energy-based representation and the extrema distribution estimated at each decomposition level-and their quality has been assessed by using principal component analysis. Their capability of discrimination between normal, premature ventricular contraction, and ischemic beats has been studied by means of linear discriminant analysis. This work leads also, for the problem at hand, to the identification of the most relevant resolution levels

1: Laboratoire Traitement du Signal et de l'Image (LTSI)
INSERM : U642 – Université de Rennes 1
2: Grupo de Bioingeniería y Biofisica Aplicada (GBBA)
Universidad Simon Bolivar

inserm-00152896, version 1
http://www.hal.inserm.fr/inserm-00152896
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From: Lotfi Senhadji <>
Submitted on: Tuesday, 26 June 2007 11:28:06
Updated on: Wednesday, 26 December 2007 10:49:06

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DOI: 10.1109/51.376755

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%% inserm-00152896, version 1
%% http://www.hal.inserm.fr/inserm-00152896
@article{senhadji:inserm-00152896,
    hal_id = {inserm-00152896},
    url = {http://www.hal.inserm.fr/inserm-00152896},
    title = {{Comparing wavelet transforms for recognizing cardiac patterns}},
    author = {Senhadji, Lotfi and Bellanger, Jean-Jacques and Carrault, Guy and Passariello, Gianfranco},
    abstract = {{The authors' study made use of wavelet transforms to describe and recognize isolated cardiac beats. The choice of the wavelet family as well as the selection of the analyzing function into these families are discussed. The criterion used in the first case was the correct classification rate, and in the second case, the correlation coefficient between the original pattern and the reconstructed one. Two types of description have been considered-the energy-based representation and the extrema distribution estimated at each decomposition level-and their quality has been assessed by using principal component analysis. Their capability of discrimination between normal, premature ventricular contraction, and ischemic beats has been studied by means of linear discriminant analysis. This work leads also, for the problem at hand, to the identification of the most relevant resolution levels}},
    keywords = {ECG analysis; cardiac patterns recognition; decomposition level; energy-based representation; extrema distribution; ischemic beats; isolated cardiac beats; normal beats; premature ventricular contractions; principal component analysis; resolution level; wavelet transforms comparison; ECG; PVC; Arrhythmia; classification; detection; wavelet transform},
    language = {English},
    affiliation = {Laboratoire Traitement du Signal et de l'Image - LTSI , Grupo de Bioingenier{\'\i}a y Biofisica Aplicada - GBBA},
    pages = {167-173},
    journal = {IEEE Engineering in Medicine and Biology Magazine},
    volume = {14},
    number = {2 },
    note = {CODEN: IEMBDE INSPEC Accession Number:4930363 },
    audience = {international },
    issn = {0739-5175 },
    doi = {10.1109/51.376755 },
    year = {1995},
    month = Mar,
    pdf = {http://www.hal.inserm.fr/inserm-00152896/PDF/Comparing\_Wavelet\_Transforms\_for\_Recognizing\_Cardiac\_Patterns.pdf},
}

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