Recurrent neural networks employing Lyapunov exponents for analysis of ECG signals

Expert Systems with Applications

Volumn 37, Issue 2, 2010, Pages 1192-1199

  Derya Übeyli, Elif ^a  

^a TOBB UNIVERSITY OF ECONOMICS AND TECHNOLOGY   (Turkey)

Author keywords

Chaotic signal; Electrocardiogram (ECG) signals; Lyapunov exponents; Recurrent neural networks (RNNs)

Indexed keywords

ATRIAL FIBRILLATION; AUTOMATED DIAGNOSIS; CHAOTIC SIGNAL; CLASSIFICATION ACCURACY; CONGESTIVE HEART FAILURES; ECG SIGNALS; ELECTROCARDIOGRAM SIGNAL; LEVENBERG-MARQUARDT ALGORITHM; LYAPUNOV EXPONENT; LYAPUNOV EXPONENTS; NON-LINEAR DYNAMICS; TWO STAGE; VENTRICULAR TACHYARRHYTHMIAS;

DIFFERENTIAL EQUATIONS; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; LYAPUNOV METHODS; REINFORCEMENT LEARNING; SIGNAL PROCESSING;

RECURRENT NEURAL NETWORKS;

EID: 71749119944     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.06.022     Document Type: Article

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