Application of Filtering Methods for Removal of Resuscitation Artifacts from Human ECG Signals
Application of Filtering Methods for Removal of Resuscitation Artifacts from Human ECG Signals
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.
Kalman filter, adaptive filter, ECG signals, artifacts removal, system identification.
13-16
Markovsky, Ivan
7d632d37-2100-41be-a4ff-90b92752212c
Amann, Anton
29b798f7-4be1-4504-85b6-04b128f72443
Van Huffel, Sabine
8814fa15-3922-4a5a-9ba5-c2ea63ceeaf7
August 2008
Markovsky, Ivan
7d632d37-2100-41be-a4ff-90b92752212c
Amann, Anton
29b798f7-4be1-4504-85b6-04b128f72443
Van Huffel, Sabine
8814fa15-3922-4a5a-9ba5-c2ea63ceeaf7
Markovsky, Ivan, Amann, Anton and Van Huffel, Sabine
(2008)
Application of Filtering Methods for Removal of Resuscitation Artifacts from Human ECG Signals.
30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, British Columbia, Canada.
20 - 24 Aug 2008.
.
Record type:
Conference or Workshop Item
(Other)
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.
Text
ecg_embs.pdf
- Accepted Manuscript
More information
Published date: August 2008
Additional Information:
Event Dates: August 20-24, 2008
Venue - Dates:
30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, British Columbia, Canada, 2008-08-20 - 2008-08-24
Keywords:
Kalman filter, adaptive filter, ECG signals, artifacts removal, system identification.
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 265957
URI: http://eprints.soton.ac.uk/id/eprint/265957
PURE UUID: c5a6292c-7639-4e5e-a7ca-f5dd2113d0fc
Catalogue record
Date deposited: 17 Jun 2008 09:44
Last modified: 14 Mar 2024 08:18
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Contributors
Author:
Ivan Markovsky
Author:
Anton Amann
Author:
Sabine Van Huffel
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