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Transactions: WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE
Transactions ID Number: 54-127
Full Name: hedi khammari
Position: Assistant Professor
Age: ON
Sex: Male
Address: College of computers and information technology
Country: SAUDI ARABIA
Tel: 00966569528475
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E-mail address: gham.hedi@hotmail.com
Other E-mails: hkhamari@tu.edu.sa
Title of the Paper: The application of methods of nonlinear dynamics for ECG in Normal Sinus Rhythm
Authors as they appear in the Paper: HEDI KHAMMARI and SULTAN ALJAHDALI
Email addresses of all the authors: hkhamari@tu.edu.sa aljahdali@tu.edu.sa
Number of paper pages: 10
Abstract: Abstract: The ECG signals were processed in three steps: First by reconstructing their phase portraits, second by calculating their spectra and finally by computing their Largest Lyapunov exponents. This study presents a framework to assess nonlinear parameters of ECG signals that may be useful for further exploration of physio- logical and path-physiological significance of dynamics in electrocardiograms. This paper devotes to identify the nonlinear properties of human heart beat dynamics for 18 characteristic examples of normal subjects with normal sinus rhythm. A new phase space characterization of a class of ECG signals with normal sinus rhythm through is presented. Such approach led to find out a common visual feature namely an anchor-shaped Poincar´ e plot re- sulting from an appropriate choice of the delay time. Any value of the delay time is acceptable, but the shape of the embedded time series depends critically on the choice of its value!
. The results reported in this study may be useful not only for the classification of ECG states, but can serve as a benchmark to which pathological cases can be compared.
Keywords: ECG,Normal sinus rhythm,nonlinear dynamics, Largest Lyapunov exponent.
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