Study of features based on nonlinear dynamical modeling in ECG arrhythmia detection and classification

Journal article

Peer reviewed

Mohamed I Owis, Ahmed H ABOU-ZIED, Abou-Bakr M Youssef and Yasser M Kadah

IEEE transactions on biomedical engineering, Vol.49(7), pp.733-736

01/07/2002

PMID: 12083309

Abstract

Biological and medical sciences

Medical sciences

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Title: Study of features based on nonlinear dynamical modeling in ECG arrhythmia detection and classification
Creators - without role: Mohamed I Owis - Cairo University
Ahmed H ABOU-ZIED - Cairo University
Abou-Bakr M Youssef - Cairo University
Yasser M Kadah - Cairo University
Publication Details: IEEE transactions on biomedical engineering, Vol.49(7), pp.733-736
Publisher: Institute of Electrical and Electronics Engineers
Identifiers: 9940262908331
Academic Unit: King Abdulaziz University
Language: English
Resource Type: Journal article