NDLI: Heart condition analysis from ECG signals based on nonlinear theory

Content Provider	IEEE Xplore Digital Library
Author	Jun Meng Ke Xu Jun Zheng Wenjun Yan
Copyright Year	2010
Description	Author affiliation: College of Electrical Engineering, Zhejiang Univesity, Hangzhou, 310027, China (Jun Meng; Ke Xu; Jun Zheng; Wenjun Yan)
Abstract	In the article ECG signals both normal and arrhythmia are studied with different nonlinear methods including chaotic attractor, RPS, correlation dimension, etc, to revealing the connection between ECG signals and heart rhythm conditions from nonlinear view. The results indicate that when heart rhythm state changes, the projection of ECG signals attractors in RPS changes remarkably, which corresponds with clinic diagnosis. Relating to results from correlation dimension combined with SVD, some certain pattern can be discovered. Meanwhile, the nonlinear dynamic process of the changing heart rhythm state is discussed to have a new sight into some kind of heart rhythm from nonlinear theory, in contrast to the clinic physiological characters. The results can be reference for intelligent diagnosis of heart disease.
Starting Page	1623
Ending Page	1628
File Size	900282
Page Count	6
File Format	PDF
ISBN	9781424467129
e-ISBN	9781424467129
DOI	10.1109/WCICA.2010.5554737
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrocardiography Heart Correlation Rhythm Nonlinear dynamical systems Oscillators SVD chaotic attractors RPS correlation dimension ECG signals
Content Type	Text
Resource Type	Article

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