QRS detection using S-Transform and Shannon energy.
Identifieur interne : 000233 ( Main/Exploration ); précédent : 000232; suivant : 000234QRS 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 :
- Computer methods and programs in biomedicine [ 1872-7565 ] ; 2014.
Descripteurs français
- KwdFr :
- Algorithmes (MeSH), Diagnostic assisté par ordinateur (méthodes), Humains (MeSH), Reconnaissance automatique des formes (méthodes), Reproductibilité des résultats (MeSH), Rythme cardiaque (MeSH), Sensibilité et spécificité (MeSH), Traitement du signal assisté par ordinateur (MeSH), Troubles du rythme cardiaque (diagnostic), Troubles du rythme cardiaque (physiopathologie), Électrocardiographie (méthodes).
- MESH :
- diagnostic : Troubles du rythme cardiaque.
- méthodes : Diagnostic assisté par ordinateur, Reconnaissance automatique des formes, Électrocardiographie.
- physiopathologie : Troubles du rythme cardiaque.
- Algorithmes, Humains, Reproductibilité des résultats, Rythme cardiaque, Sensibilité et spécificité, Traitement du signal assisté par ordinateur.
English descriptors
- KwdEn :
- Algorithms (MeSH), Arrhythmias, Cardiac (diagnosis), Arrhythmias, Cardiac (physiopathology), Diagnosis, Computer-Assisted (methods), Electrocardiography (methods), Heart Rate (MeSH), Humans (MeSH), Pattern Recognition, Automated (methods), Reproducibility of Results (MeSH), Sensitivity and Specificity (MeSH), Signal Processing, Computer-Assisted (MeSH).
- MESH :
- diagnosis : Arrhythmias, Cardiac.
- methods : Diagnosis, Computer-Assisted, Electrocardiography, Pattern Recognition, Automated.
- physiopathology : Arrhythmias, Cardiac.
- Algorithms, Heart Rate, Humans, Reproducibility of Results, Sensitivity and Specificity, Signal Processing, Computer-Assisted.
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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Le document en format XML
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<term>Arrhythmias, Cardiac (physiopathology)</term>
<term>Diagnosis, Computer-Assisted (methods)</term>
<term>Electrocardiography (methods)</term>
<term>Heart Rate (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Pattern Recognition, Automated (methods)</term>
<term>Reproducibility of Results (MeSH)</term>
<term>Sensitivity and Specificity (MeSH)</term>
<term>Signal Processing, Computer-Assisted (MeSH)</term>
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<term>Diagnostic assisté par ordinateur (méthodes)</term>
<term>Humains (MeSH)</term>
<term>Reconnaissance automatique des formes (méthodes)</term>
<term>Reproductibilité des résultats (MeSH)</term>
<term>Rythme cardiaque (MeSH)</term>
<term>Sensibilité et spécificité (MeSH)</term>
<term>Traitement du signal assisté par ordinateur (MeSH)</term>
<term>Troubles du rythme cardiaque (diagnostic)</term>
<term>Troubles du rythme cardiaque (physiopathologie)</term>
<term>Électrocardiographie (méthodes)</term>
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<term>Reproducibility of Results</term>
<term>Sensitivity and Specificity</term>
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<term>Reproductibilité des résultats</term>
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<front><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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