Please use this identifier to cite or link to this item:
http://nopr.niscpr.res.in/handle/123456789/741| Title: | Reduction of artifacts in 12-channel ECG signals using FastICA algorithm |
| Authors: | Agrawal, Gracee Singh, Manju Singh, V R Singh, H R |
| Keywords: | Artifacts reduction;Blind source separation;ECG;Fast ICA algorithm;Independent component analysis |
| Issue Date: | Jan-2008 |
| Publisher: | CSIR |
| Abstract: | ECG signals are required to be reduced for accurate and easier diagnosis in clinical resting ECG, ambulatory ECG, exercise ECG and long-term ECG monitoring. In this paper, Fast ICA algorithm has been used for reducing artifacts and noise from 12- channel ECG recordings. A Graphical User Interface is also made for the same purpose. |
| Page(s): | 43-48 |
| ISSN: | 0022-4456 |
| Appears in Collections: | JSIR Vol.67(01) [January 2008] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JSIR 67(1) (2008) 43-48.pdf | 121.02 kB | Adobe PDF | View/Open |
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