NISCAIR Online Periodicals Repository

Research Journals >
Journal of Scientific and Industrial Research (JSIR) >
JSIR Vol.68 [2009] >
JSIR Vol.68(10) [October 2009] >

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
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.
Page(s): 866-870
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Source:JSIR Vol.68(10) [October 2009]

Files in This Item:

File Description SizeFormat
JSIR 68(10) 866-870.pdf153.03 kBAdobe PDFView/Open
 Current Page Visits: 142 
Recommend this item


Online Submission of Articles |  NISCAIR Website |  National Knowledge Resources Consortium |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2015 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 163036 since 01-Sep-2015  Last updated on 21-Jun-2016Webmaster: