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Application of Filtering Methods for Removal of Resuscitation Artifacts from Human ECG Signals

Record type: Conference or Workshop Item (Other)

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.

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Citation

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, Canada. 20 - 24 Aug 2008. , pp. 13-16.

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, 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: 18 Jul 2017 07:21

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Contributors

Author: Ivan Markovsky
Author: Anton Amann
Author: Sabine Van Huffel

University divisions


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