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Author Irusta, U. ♦ de Gauna, S.R. ♦ Ruiz, J. ♦ Aramendi, E. ♦ Lazkano, A. ♦ Gutierrez, J.J.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2005
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Technology ♦ Medicine & health
Subject Keyword Least squares approximation ♦ Rhythm ♦ Frequency ♦ Databases ♦ Cardiology ♦ Adaptive filters ♦ Hospitals ♦ Signal to noise ratio ♦ Electric shock ♦ Signal analysis
Abstract Artefacts created by thoracic compressions during cardiopulmonary resuscitation (CPR) prevent the proper classification of the cardiac rhythm by an automatic external defibrillator (AED), making a pause in CPR necessary for a correct rhythm analysis. Previously proposed adaptive filtering methods have produced satisfactory CPR cancellation results but involve complex out of hospital intervention scenarios. A new adaptive method requiring minimal modifications of the basic operation of an AED is proposed for the suppression of the CPR artefact from a ventricular fibrillation (VF) rhythm. A model of the CPR artefact, based on the instants of the thoracic compressions, is used as the reference signal of a variable step size least mean squares (LMS) algorithm. Emphasis is put on building a reference signal highly correlated to the CPR artefact and on the fine tuning of the LMS algorithm. Satisfactory results have been obtained for the average increase in signal to noise ratio (SNR) and the sensitivity of a commercially available AED
Description Author affiliation: Univ. of the Basque Country, Bilbao (Irusta, U.; de Gauna, S.R.; Ruiz, J.; Aramendi, E.; Lazkano, A.; Gutierrez, J.J.)
ISBN 0780393376
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-09-25
Publisher Place France
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 141.55 kB
Page Count 4
Starting Page 179
Ending Page 182


Source: IEEE Xplore Digital Library