Abstract
Using chaotic dynamic parameters to analyze the ECG signal is the hotspot of research in recent year. However the result of previous studies using features such as the maximal Lyapunov exponent and power spectrum can’t get a satisfactory result. In this paper, a new method of discriminating ECG signal has been put forward. This method uses scatter diagram and Kolmogorov entropy to distinguish different kinds of cases. Experiment using the MIT-BIH Arrhythmia database shows the result of improvement.
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhu, C., Ji, A., Zhang, L., Mao, L. (2011). A New Method of Discriminating ECG Signals Based on Chaotic Dynamic Parameters. In: Hu, W. (eds) Electronics and Signal Processing. Lecture Notes in Electrical Engineering, vol 97. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21697-8_38
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DOI: https://doi.org/10.1007/978-3-642-21697-8_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21696-1
Online ISBN: 978-3-642-21697-8
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