Analysis of ECG signal by chaos principle to help automatic diagnosis of myocardial infarction

Journal of Scientific and Industrial Research

Volumn 68, Issue 10, 2009, Pages 866-870

  Lahiri, Tapobrata ^a   Kumar, Upendra ^a   Mishra, Hrishikesh ^a   Sarkar, Subrata ^a   Roy, Arunava Das ^b  

^a INDIAN INSTITUTE OF INFORMATION TECHNOLOGY   (India)

^b Sobha Renaissance Information Technology Private Limited   (India)

Author keywords

Chaos; Electrocardiogram; Myocardial infarction; Neuro GA; Phase space fractal dimension; Signal processing

Indexed keywords

AUTOMATIC DIAGNOSIS; CHAOTIC BEHAVIORS; DIAGNOSTIC EFFICIENCY; ECG DATA; ECG SIGNALS; ELECTROCARDIOGRAM; ELECTROCARDIOGRAM SIGNAL; MYOCARDIAL INFARCTION; PHASE SPACES; SENSITIVITY AND SPECIFICITY;

CHAOS THEORY; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; GENETIC ALGORITHMS; PARTIAL DISCHARGES; PHASE SPACE METHODS; SIGNAL PROCESSING;

FRACTAL DIMENSION;

AUTOMATION; CARDIOLOGY; CHAOTIC DYNAMICS; DATABASE; GENETIC ALGORITHM; SIGNAL PROCESSING;

EID: 72949093111     PISSN: 00224456     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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