Automatic classification of heartbeats using wavelet neural network.
Identifieur interne : 000110 ( Main/Exploration ); précédent : 000109; suivant : 000111Automatic classification of heartbeats using wavelet neural network.
Auteurs : Radhwane Benali [Algérie] ; Fethi Bereksi Reguig ; Zinedine Hadj SlimaneSource :
- Journal of medical systems [ 0148-5598 ] ; 2012.
Descripteurs français
- KwdFr :
- Adulte d'âge moyen (MeSH), Algorithmes (MeSH), Analyse en ondelettes (MeSH), Femelle (MeSH), Humains (MeSH), Mâle (MeSH), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Traitement d'image par ordinateur (méthodes), Troubles du rythme cardiaque (classification), Troubles du rythme cardiaque (diagnostic), Électrocardiographie (MeSH).
- MESH :
- diagnostic : Troubles du rythme cardiaque.
- méthodes : Traitement d'image par ordinateur.
- classification : Adulte d'âge moyen, Algorithmes, Analyse en ondelettes, Femelle, Humains, Mâle, Sujet âgé, Sujet âgé de 80 ans ou plus, Troubles du rythme cardiaque, Électrocardiographie.
English descriptors
- KwdEn :
- Aged (MeSH), Aged, 80 and over (MeSH), Algorithms (MeSH), Arrhythmias, Cardiac (classification), Arrhythmias, Cardiac (diagnosis), Electrocardiography (MeSH), Female (MeSH), Humans (MeSH), Image Processing, Computer-Assisted (methods), Male (MeSH), Middle Aged (MeSH), Neural Networks, Computer (MeSH), Wavelet Analysis (MeSH).
- MESH :
- classification : Arrhythmias, Cardiac.
- diagnosis : Arrhythmias, Cardiac.
- methods : Image Processing, Computer-Assisted.
- Aged, Aged, 80 and over, Algorithms, Electrocardiography, Female, Humans, Male, Middle Aged, Neural Networks, Computer, Wavelet Analysis.
Abstract
The electrocardiogram (ECG) signal is widely employed as one of the most important tools in clinical practice in order to assess the cardiac status of patients. The classification of the ECG into different pathologic disease categories is a complex pattern recognition task. In this paper, we propose a method for ECG heartbeat pattern recognition using wavelet neural network (WNN). To achieve this objective, an algorithm for QRS detection is first implemented, then a WNN Classifier is developed. The experimental results obtained by testing the proposed approach on ECG data from the MIT-BIH arrhythmia database demonstrate the efficiency of such an approach when compared with other methods existing in the literature.
DOI: 10.1007/s10916-010-9551-7
PubMed: 20703646
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: 000707
- to stream PubMed, to step Curation: 000703
- to stream PubMed, to step Checkpoint: 000671
- to stream Main, to step Merge: 000110
- to stream Main, to step Curation: 000110
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Automatic classification of heartbeats using wavelet neural network.</title><author><name sortKey="Benali, Radhwane" sort="Benali, Radhwane" uniqKey="Benali R" first="Radhwane" last="Benali">Radhwane Benali</name><affiliation wicri:level="1"><nlm:affiliation>Department of Electronics, Abou Bekr Belkaid University, Tlemcen, Algeria. benali_redouane@yahoo.fr</nlm:affiliation><country xml:lang="fr">Algérie</country><wicri:regionArea>Department of Electronics, Abou Bekr Belkaid University, Tlemcen</wicri:regionArea><wicri:noRegion>Tlemcen</wicri:noRegion></affiliation></author><author><name sortKey="Bereksi Reguig, Fethi" sort="Bereksi Reguig, Fethi" uniqKey="Bereksi Reguig F" first="Fethi" last="Bereksi Reguig">Fethi Bereksi Reguig</name></author><author><name sortKey="Hadj Slimane, Zinedine" sort="Hadj Slimane, Zinedine" uniqKey="Hadj Slimane Z" first="Zinedine" last="Hadj Slimane">Zinedine Hadj Slimane</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2012">2012</date><idno type="RBID">pubmed:20703646</idno><idno type="pmid">20703646</idno><idno type="doi">10.1007/s10916-010-9551-7</idno><idno type="wicri:Area/PubMed/Corpus">000707</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000707</idno><idno type="wicri:Area/PubMed/Curation">000703</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000703</idno><idno type="wicri:Area/PubMed/Checkpoint">000671</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000671</idno><idno type="wicri:Area/Main/Merge">000110</idno><idno type="wicri:Area/Main/Curation">000110</idno><idno type="wicri:Area/Main/Exploration">000110</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Automatic classification of heartbeats using wavelet neural network.</title><author><name sortKey="Benali, Radhwane" sort="Benali, Radhwane" uniqKey="Benali R" first="Radhwane" last="Benali">Radhwane Benali</name><affiliation wicri:level="1"><nlm:affiliation>Department of Electronics, Abou Bekr Belkaid University, Tlemcen, Algeria. benali_redouane@yahoo.fr</nlm:affiliation><country xml:lang="fr">Algérie</country><wicri:regionArea>Department of Electronics, Abou Bekr Belkaid University, Tlemcen</wicri:regionArea><wicri:noRegion>Tlemcen</wicri:noRegion></affiliation></author><author><name sortKey="Bereksi Reguig, Fethi" sort="Bereksi Reguig, Fethi" uniqKey="Bereksi Reguig F" first="Fethi" last="Bereksi Reguig">Fethi Bereksi Reguig</name></author><author><name sortKey="Hadj Slimane, Zinedine" sort="Hadj Slimane, Zinedine" uniqKey="Hadj Slimane Z" first="Zinedine" last="Hadj Slimane">Zinedine Hadj Slimane</name></author></analytic><series><title level="j">Journal of medical systems</title><idno type="ISSN">0148-5598</idno><imprint><date when="2012" type="published">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged (MeSH)</term><term>Aged, 80 and over (MeSH)</term><term>Algorithms (MeSH)</term><term>Arrhythmias, Cardiac (classification)</term><term>Arrhythmias, Cardiac (diagnosis)</term><term>Electrocardiography (MeSH)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Image Processing, Computer-Assisted (methods)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Neural Networks, Computer (MeSH)</term><term>Wavelet Analysis (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte d'âge moyen (MeSH)</term><term>Algorithmes (MeSH)</term><term>Analyse en ondelettes (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Mâle (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Sujet âgé de 80 ans ou plus (MeSH)</term><term>Traitement d'image par ordinateur (méthodes)</term><term>Troubles du rythme cardiaque (classification)</term><term>Troubles du rythme cardiaque (diagnostic)</term><term>Électrocardiographie (MeSH)</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Arrhythmias, Cardiac</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Arrhythmias, Cardiac</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Troubles du rythme cardiaque</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Image Processing, Computer-Assisted</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Traitement d'image par ordinateur</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Aged, 80 and over</term><term>Algorithms</term><term>Electrocardiography</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Neural Networks, Computer</term><term>Wavelet Analysis</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="fr"><term>Adulte d'âge moyen</term><term>Algorithmes</term><term>Analyse en ondelettes</term><term>Femelle</term><term>Humains</term><term>Mâle</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>Troubles du rythme cardiaque</term><term>Électrocardiographie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The electrocardiogram (ECG) signal is widely employed as one of the most important tools in clinical practice in order to assess the cardiac status of patients. The classification of the ECG into different pathologic disease categories is a complex pattern recognition task. In this paper, we propose a method for ECG heartbeat pattern recognition using wavelet neural network (WNN). To achieve this objective, an algorithm for QRS detection is first implemented, then a WNN Classifier is developed. The experimental results obtained by testing the proposed approach on ECG data from the MIT-BIH arrhythmia database demonstrate the efficiency of such an approach when compared with other methods existing in the literature.</div></front></TEI><affiliations><list><country><li>Algérie</li></country></list><tree><noCountry><name sortKey="Bereksi Reguig, Fethi" sort="Bereksi Reguig, Fethi" uniqKey="Bereksi Reguig F" first="Fethi" last="Bereksi Reguig">Fethi Bereksi Reguig</name><name sortKey="Hadj Slimane, Zinedine" sort="Hadj Slimane, Zinedine" uniqKey="Hadj Slimane Z" first="Zinedine" last="Hadj Slimane">Zinedine Hadj Slimane</name></noCountry><country name="Algérie"><noRegion><name sortKey="Benali, Radhwane" sort="Benali, Radhwane" uniqKey="Benali R" first="Radhwane" last="Benali">Radhwane Benali</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Sante/explor/MaghrebDataLibMedV2/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000110 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000110 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Sante
|area= MaghrebDataLibMedV2
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:20703646
|texte= Automatic classification of heartbeats using wavelet neural network.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:20703646" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a MaghrebDataLibMedV2
| This area was generated with Dilib version V0.6.38. |  |