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.

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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 Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
ePrint ID: 265957
Date Deposited: 17 Jun 2008 09:44
Last Modified: 27 Mar 2014 20:11
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/265957

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