QRS detection based on wavelet coefficients.
Identifieur interne : 000149 ( Main/Exploration ); précédent : 000148; suivant : 000150QRS detection based on wavelet coefficients.
Auteurs : Zahia Zidelmal [Algérie] ; Ahmed Amirou ; Mourad Adnane ; Adel BelouchraniSource :
- Computer methods and programs in biomedicine [ 1872-7565 ] ; 2012.
Descripteurs français
- KwdFr :
- Algorithmes (MeSH), Artéfacts (MeSH), Automatisation (MeSH), Bases de données factuelles (MeSH), Facteurs temps (MeSH), Humains (MeSH), Informatique médicale (méthodes), Logiciel (MeSH), Reproductibilité des résultats (MeSH), Sensibilité et spécificité (MeSH), Traitement du signal assisté par ordinateur (MeSH), Troubles du rythme cardiaque (physiopathologie), Électrocardiographie (méthodes).
- MESH :
- méthodes : Informatique médicale, Électrocardiographie.
- physiopathologie : Troubles du rythme cardiaque.
- Algorithmes, Artéfacts, Automatisation, Bases de données factuelles, Facteurs temps, Humains, Logiciel, Reproductibilité des résultats, Sensibilité et spécificité, Traitement du signal assisté par ordinateur.
English descriptors
- KwdEn :
- Algorithms (MeSH), Arrhythmias, Cardiac (physiopathology), Artifacts (MeSH), Automation (MeSH), Databases, Factual (MeSH), Electrocardiography (methods), Humans (MeSH), Medical Informatics (methods), Reproducibility of Results (MeSH), Sensitivity and Specificity (MeSH), Signal Processing, Computer-Assisted (MeSH), Software (MeSH), Time Factors (MeSH).
- MESH :
Abstract
Electrocardiogram (ECG) signal processing and analysis provide crucial information about functional status of the heart. The QRS complex represents the most important component within the ECG signal. Its detection is the first step of all kinds of automatic feature extraction. QRS detector must be able to detect a large number of different QRS morphologies. This paper examines the use of wavelet detail coefficients for the accurate detection of different QRS morphologies in ECG. Our method is based on the power spectrum of QRS complexes in different energy levels since it differs from normal beats to abnormal ones. This property is used to discriminate between true beats (normal and abnormal) and false beats. Significant performance enhancement is observed when the proposed approach is tested with the MIT-BIH arrhythmia database (MITDB). The obtained results show a sensitivity of 99.64% and a positive predictivity of 99.82%.
DOI: 10.1016/j.cmpb.2011.12.004
PubMed: 22296976
Affiliations:
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Le document en format XML
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A" first="Adel" last="Belouchrani">Adel Belouchrani</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2012">2012</date><idno type="RBID">pubmed:22296976</idno><idno type="pmid">22296976</idno><idno type="doi">10.1016/j.cmpb.2011.12.004</idno><idno type="wicri:Area/PubMed/Corpus">000672</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000672</idno><idno type="wicri:Area/PubMed/Curation">000668</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000668</idno><idno type="wicri:Area/PubMed/Checkpoint">000650</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000650</idno><idno type="wicri:Area/Main/Merge">000149</idno><idno type="wicri:Area/Main/Curation">000149</idno><idno type="wicri:Area/Main/Exploration">000149</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">QRS detection based on wavelet coefficients.</title><author><name sortKey="Zidelmal, Zahia" sort="Zidelmal, Zahia" uniqKey="Zidelmal Z" first="Zahia" last="Zidelmal">Zahia Zidelmal</name><affiliation wicri:level="1"><nlm:affiliation>Electrical Engineering Department, Mouloud Mammeri University, Tizi-Ouzou, Algeria. z-zidelmal@mail.ummto.dz</nlm:affiliation><country xml:lang="fr">Algérie</country><wicri:regionArea>Electrical Engineering Department, Mouloud Mammeri University, Tizi-Ouzou</wicri:regionArea><wicri:noRegion>Tizi-Ouzou</wicri:noRegion></affiliation></author><author><name sortKey="Amirou, Ahmed" sort="Amirou, Ahmed" uniqKey="Amirou A" first="Ahmed" last="Amirou">Ahmed Amirou</name></author><author><name sortKey="Adnane, Mourad" sort="Adnane, Mourad" uniqKey="Adnane M" first="Mourad" last="Adnane">Mourad Adnane</name></author><author><name sortKey="Belouchrani, Adel" sort="Belouchrani, Adel" uniqKey="Belouchrani A" first="Adel" last="Belouchrani">Adel Belouchrani</name></author></analytic><series><title level="j">Computer methods and programs in biomedicine</title><idno type="eISSN">1872-7565</idno><imprint><date when="2012" type="published">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms (MeSH)</term><term>Arrhythmias, Cardiac (physiopathology)</term><term>Artifacts (MeSH)</term><term>Automation (MeSH)</term><term>Databases, Factual (MeSH)</term><term>Electrocardiography (methods)</term><term>Humans (MeSH)</term><term>Medical Informatics (methods)</term><term>Reproducibility of Results (MeSH)</term><term>Sensitivity and Specificity (MeSH)</term><term>Signal Processing, Computer-Assisted (MeSH)</term><term>Software (MeSH)</term><term>Time Factors (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Algorithmes (MeSH)</term><term>Artéfacts (MeSH)</term><term>Automatisation (MeSH)</term><term>Bases de données factuelles (MeSH)</term><term>Facteurs temps (MeSH)</term><term>Humains (MeSH)</term><term>Informatique médicale (méthodes)</term><term>Logiciel (MeSH)</term><term>Reproductibilité des résultats (MeSH)</term><term>Sensibilité et spécificité (MeSH)</term><term>Traitement du signal assisté par ordinateur (MeSH)</term><term>Troubles du rythme cardiaque (physiopathologie)</term><term>Électrocardiographie (méthodes)</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Electrocardiography</term><term>Medical Informatics</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Informatique médicale</term><term>Électrocardiographie</term></keywords><keywords scheme="MESH" qualifier="physiopathologie" xml:lang="fr"><term>Troubles du rythme cardiaque</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Arrhythmias, Cardiac</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Artifacts</term><term>Automation</term><term>Databases, Factual</term><term>Humans</term><term>Reproducibility of Results</term><term>Sensitivity and Specificity</term><term>Signal Processing, Computer-Assisted</term><term>Software</term><term>Time Factors</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Algorithmes</term><term>Artéfacts</term><term>Automatisation</term><term>Bases de données factuelles</term><term>Facteurs temps</term><term>Humains</term><term>Logiciel</term><term>Reproductibilité des résultats</term><term>Sensibilité et spécificité</term><term>Traitement du signal assisté par ordinateur</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Electrocardiogram (ECG) signal processing and analysis provide crucial information about functional status of the heart. The QRS complex represents the most important component within the ECG signal. Its detection is the first step of all kinds of automatic feature extraction. QRS detector must be able to detect a large number of different QRS morphologies. This paper examines the use of wavelet detail coefficients for the accurate detection of different QRS morphologies in ECG. Our method is based on the power spectrum of QRS complexes in different energy levels since it differs from normal beats to abnormal ones. This property is used to discriminate between true beats (normal and abnormal) and false beats. Significant performance enhancement is observed when the proposed approach is tested with the MIT-BIH arrhythmia database (MITDB). The obtained results show a sensitivity of 99.64% and a positive predictivity of 99.82%.</div></front></TEI><affiliations><list><country><li>Algérie</li></country></list><tree><noCountry><name sortKey="Adnane, Mourad" sort="Adnane, Mourad" uniqKey="Adnane M" first="Mourad" last="Adnane">Mourad Adnane</name><name sortKey="Amirou, Ahmed" sort="Amirou, Ahmed" uniqKey="Amirou A" first="Ahmed" last="Amirou">Ahmed Amirou</name><name sortKey="Belouchrani, Adel" sort="Belouchrani, Adel" uniqKey="Belouchrani A" first="Adel" last="Belouchrani">Adel Belouchrani</name></noCountry><country name="Algérie"><noRegion><name sortKey="Zidelmal, Zahia" sort="Zidelmal, Zahia" uniqKey="Zidelmal Z" first="Zahia" last="Zidelmal">Zahia Zidelmal</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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