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

Download

[img] PDF ecg_embs.pdf - Accepted Manuscript
Download (100kB)

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 (Other)
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
Related URLs:
Keywords: Kalman filter, adaptive filter, ECG signals, artifacts removal, system identification.
Organisations: Southampton Wireless Group
ePrint ID: 265957
Date :
Date Event
August 2008Published
Date Deposited: 17 Jun 2008 09:44
Last Modified: 17 Apr 2017 19:11
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/265957

Actions (login required)

View Item View Item