Optimization of bi-directional digital filtering for drift suppression in electrocardiogram signals

Journal of Medical Engineering & Technology
I Dotsinsky, T Stoyanov

Abstract

Baseline drift may often impede automatic ECG measurement and interpretation. Known methods for drift suppression do not take into consideration specific waveform parameters of various ECG signals. We propose high-pass filtering with adaptable cut-off frequency in order to keep RS amplitude changes below a selectable threshold and to preserve ST segment shape within acceptable limits.

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Citations

Aug 30, 2008·Annals of Biomedical Engineering·Serafim TabakovVessela Krasteva
Nov 21, 2008·Biomedical Engineering Online·Ivan A Dotsinsky, Georgy S Mihov
Jan 14, 2011·Medical Engineering & Physics·Raúl AlcarazJosé Joaquín Rieta
Apr 16, 2010·Computer Methods and Programs in Biomedicine·Raúl AlcarazJosé J Rieta
Jun 16, 2009·Computers in Biology and Medicine·R Alcaraz, J J Rieta
Jun 9, 2009·Medical Engineering & Physics·Raúl Alcaraz, José J Rieta
Oct 28, 2008·Computer Methods and Programs in Biomedicine·Raúl Alcaraz, José Joaquín Rieta
May 25, 2011·Pacing and Clinical Electrophysiology : PACE·Raúl AlcarazJosé J Rieta
Jun 7, 2016·Computer Methods and Programs in Biomedicine·Manuel GarcíaJosé J Rieta
Sep 5, 2009·Medical & Biological Engineering & Computing·Raúl AlcarazFernando Hornero
Jan 8, 2008·Physiological Measurement·Raúl Alcaraz, José Joaquín Rieta
Apr 26, 2008·Medical & Biological Engineering & Computing·Raúl Alcaraz, José Joaquín Rieta
May 31, 2014·Physiological Measurement·Antonio HernándezJosé Joaquín Rieta
Apr 17, 2009·Physiological Measurement·Raúl Alcaraz, José Joaquín Rieta
Oct 24, 2008·Physiological Measurement·Raúl Alcaraz, José Joaquín Rieta
Apr 5, 2017·Computational and Mathematical Methods in Medicine·Gustavo LenisOlaf Dössel

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