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Synthesis of neural network approaches used for ECG classification: Chapter Book - Couverture souple

Radhwane, Benali; Bereksi Reguig, Fethi; Dib, Nabil

 
9783847315070: Synthesis of neural network approaches used for ECG classification: Chapter Book
Couverture souple
ISBN 10 : 3847315072 ISBN 13 : 9783847315070
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Cardiovascular diseases represent the most frequent cause of death in Europe. Consequently, their diagnoses appear a vital task. In cardiology unit, ECG signal still remains the dominant used tools for arrhythmia and heart diseases analysis. In fact, the ECG is a non-invasive tool to explore the functional heart sate. It is an electrical signal varying according to the electrical heart state. From the ECG signal, some significant parameters can be extracted. Generally, the durations and the shapes of the different waves are taken as bio-indicators of certain cardiac anomalies. In fact, manual detection and classification of ECG waves is a difficult and annoying task especially for the analysis of the long recordings as in Holters and ambulatory cases. Besides, a detailed analysis of 12-leads ECG used to identify the presence or the absence of the cardiac malfunction is also irritating. However, and due to large number of patients in intensive care units, the need for continuous heart activity monitoring is necessary requiring therefore the automatic analysis of the ECG signal.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Cardiovascular diseases represent the most frequent cause of death in Europe. Consequently, their diagnoses appear a vital task. In cardiology unit, ECG signal still remains the dominant used tools for arrhythmia and heart diseases analysis. In fact, the ECG is a non-invasive tool to explore the functional heart sate. It is an electrical signal varying according to the electrical heart state. From the ECG signal, some significant parameters can be extracted. Generally, the durations and the shapes of the different waves are taken as bio-indicators of certain cardiac anomalies. In fact, manual detection and classification of ECG waves is a difficult and annoying task especially for the analysis of the long recordings as in Holters and ambulatory cases. Besides, a detailed analysis of 12-leads ECG used to identify the presence or the absence of the cardiac malfunction is also irritating. However, and due to large number of patients in intensive care units, the need for continuous heart activity monitoring is necessary requiring therefore the automatic analysis of the ECG signal.

Biographie de l'auteur

Radhwane Benali received the engineering & the MSc degrees de in Biomedical electronics from the UABB University of Tlemcen, Algeria in 2005 & 2008, respectively. Currently, he is preparing a PHD at Tlemcen University & he is a member of Biomedical Engineering Laboratory.His area of research interests includes biomedical signal processing.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3847315072
ISBN 13 
9783847315070
Reliure
Broché
Nombre de pages
64
Coordonnées du fabricant
non disponible
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