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Synthesis of neural network approaches used for ECG classification

 

Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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  • Product Description
 

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.

Product Specifications
SKU :COC72516
AuthorBenali Radhwane,Fethi Bereksi Reguig and Nabil Dib
LanguageEnglish
BindingPaperback
Number of Pages64
Publishing Year2011-12-13T00:00:00.000
ISBN978-3847315070
Edition1 st
Book TypeComputer networking & communications
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-10-08 00:00:00
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