Application of Filtering Methods for Removal of Resuscitation Artifacts from Human ECG Signals
Markovsky, Ivan, Amann, Anton and Van Huffel, Sabine (2008) Application of Filtering Methods for Removal of Resuscitation Artifacts from Human ECG Signals. At 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, British Columbia, Canada, 20 - 24 Aug 2008. , 13-16.
Download
![[img]](http://eprints.soton.ac.uk/style/images/fileicons/application_pdf.png) |
PDF
- Accepted Version
Download (98Kb) |
Description/Abstract
Band-pass, Kalman, and adaptive filters are used for removal of resuscitation artifacts from human ECG signals. A database of separately recorded human ECG and animal resuscitation artifact signals is used for evaluation of the methods. The considered performance criterion is the signal-to-noise ratio (SNR) improvement, defined as the ratio of the SNRs of the filtered signal and the given ECG signal. The empirical results show that for low SNR of the given signal, a band-pass filter yields the best performance, while for high SNR, an adaptive filter yields the best performance.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Additional Information: | Event Dates: August 20-24, 2008 |
| Related URLs: | |
| Keywords: | Kalman filter, adaptive filter, ECG signals, artifacts removal, system identification. |
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control |
| Item ID: | 265957 |
| Date Deposited: | 17 Jun 2008 09:44 |
| Last Modified: | 02 Mar 2012 11:41 |
| Contributors: | Markovsky, Ivan (Author) Amann, Anton (Author) Van Huffel, Sabine (Author) |
| Date: | August 2008 |
| Additional Information: | Event Dates: August 20-24, 2008 |
| Status: | Published |
| Further Information: | Google Scholar |
| ISI Citation Count: | 0 |
| URI: | http://eprints.soton.ac.uk/id/eprint/265957 |
Actions (login required)
 |
View Item |
