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QRS detection using S-Transform and Shannon energy.

Identifieur interne : 000233 ( Main/Exploration ); précédent : 000232; suivant : 000234

QRS detection using S-Transform and Shannon energy.

Auteurs : Z. Zidelmal [Algérie] ; A. Amirou [Algérie] ; D. Ould-Abdeslam [France] ; A. Moukadem [France] ; A. Dieterlen [France]

Source :

RBID : pubmed:24856322

Descripteurs français

English descriptors

Abstract

This paper presents a novel method for QRS detection in electrocardiograms (ECG). It is based on the S-Transform, a new time frequency representation (TFR). The S-Transform provides frequency-dependent resolution while maintaining a direct relationship with the Fourier spectrum. We exploit the advantages of the S-Transform to isolate the QRS complexes in the time-frequency domain. Shannon energy of each obtained local spectrum is then computed in order to localize the R waves in the time domain. Significant performance enhancement is confirmed when the proposed approach is tested with the MIT-BIH arrhythmia database (MITDB). The obtained results show a sensitivity of 99.84%, a positive predictivity of 99.91% and an error rate of 0.25%. Furthermore, to be more convincing, the authors illustrated the detection parameters in the case of certain ECG segments with complicated patterns.

DOI: 10.1016/j.cmpb.2014.04.008
PubMed: 24856322


Affiliations:


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<div type="abstract" xml:lang="en">This paper presents a novel method for QRS detection in electrocardiograms (ECG). It is based on the S-Transform, a new time frequency representation (TFR). The S-Transform provides frequency-dependent resolution while maintaining a direct relationship with the Fourier spectrum. We exploit the advantages of the S-Transform to isolate the QRS complexes in the time-frequency domain. Shannon energy of each obtained local spectrum is then computed in order to localize the R waves in the time domain. Significant performance enhancement is confirmed when the proposed approach is tested with the MIT-BIH arrhythmia database (MITDB). The obtained results show a sensitivity of 99.84%, a positive predictivity of 99.91% and an error rate of 0.25%. Furthermore, to be more convincing, the authors illustrated the detection parameters in the case of certain ECG segments with complicated patterns. </div>
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