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An Improved Method for Discriminating ECG Signals using Typical Nonlinear Dynamic Parameters and Recurrence
M Tang1, C Q Chang, P C W Fung
1Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, PRC.
Abstract:
The discrimination of ECG signals using nonlinear dynamic parameters is of crucial importance in the cardiac disease therapy and chaos control for arrhythmia defibrillation in the cardiac system. However, the discrimination results of previous studies using features such as maximal Lyapunov exponent (λ
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