Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/6132
Title: Analysis of ECG signal by chaos principle to help automatic diagnosis of myocardial infarction
Authors: Lahiri, Tapobrata
Kumar, Upendra
Mishra, Hrishikesh
Sarkar, Subrata
Roy, Arunava Das
Keywords: Electrocardiogram
Myocardial infarction
Neuro-GA
chaos
Phase space fractal dimension
Signal processing
Issue Date: Oct-2009
Publisher: CSIR
Abstract: Chaotic behavior of electrocardiogram (ECG) signal of myocardial and non-myocardial infarctions is differentiated using neuro-GA approach, incorporating heuristically chosen phase space fractal dimension (PSFD) of ECG data. A remarkable improvement of diagnostic efficiency, sensitivity and specificity was observed in case study.
Description: 866-870
URI: http://hdl.handle.net/123456789/6132
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.68(10) [October 2009]

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