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. |
| Page(s): | 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] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JSIR 68(10) 866-870.pdf | 153.03 kB | Adobe PDF | View/Open |
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