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Background/aim: The signal-averaging (SA) technique is used to record high-resolution electrocardiograms (HRECGs) showing cardiac micropotentials. We aimed to develop a non-invasive signal-averaging-based portable bedside device to determine His-ventricle interval.
Patients And Methods: After amplifying the HRECG recordings, signal duration and voltage can be measured up to four decimal precision.
A theoretical model of the high-frequency arrhythmogenic depolarization signal following myocardial infarction.
IEEE Trans Biomed Eng
November 2004
Department of Medical Physics, School of Medicine, University of Patras, 26500 Rion-Patras, Greece.
Theoretical body-surface potentials were computed from single, branching and tortuous strands of Luo-Rudy dynamic model cells, representing different areas of an infarct scar. When action potential (AP) propagation either in longitudinal or transverse direction was slow (3-12 cm/s), the depolarization signals contained high-frequency (100-300 Hz) oscillations. The frequencies were related to macroscopic propagation velocity and strand architecture by simple formulas.
View Article and Find Full Text PDFBeat-to-beat noise removal in non-invasive His-bundle electrocardiogram.
Med Biol Eng Comput
September 2004
Tampere International Center for Signal Processing, Tampere University of Technology, Finland.
His-bundle electrocardiogram micropotentials are usually obtained by serial-signal averaging, because no acceptable, satisfactory solution for beat-by-beat removal of power-line interference and electromyographic noise has been found. A method has been developed for surface beat-to-beat His-bundle potential recovery, with the hypothesis that no distortion in the signal shape is admissible. It is based on consecutive power-line interference subtraction and wavelet-domain electromyographic noise suppression, modified to match the strict criteria for detecting low-amplitude His potentials.
View Article and Find Full Text PDFMagnetocardiographic intra-QRS fragmentation analysis in the identification of patients with sustained ventricular tachycardia after myocardial infarction.
Pacing Clin Electrophysiol
August 2001
Division of Cardiology, Helsinki University Central Hospital, Finland.
The aim of this study was to investigate if magnetocardiographic (MCG) analysis of cardiac micropotentials within the QRS complex can identity patients prone to ventricular arrhythmias, and to compare it to MCG time-domain, late-field analysis. The study population consisted of 136 patients with remote MI, 53 with and 83 without a history of VT. After averaging and high pass filtering of multichannel MCG signals, time-domain parameters describing the end-QRS activity and fragmentation index M and score S describing the whole QRS complex were computed.
View Article and Find Full Text PDFResolution of late potentials with improvement in left ventricular systolic function in patients with first acute myocardial infarction.
Clin Cardiol
May 1997
Second Department of Internal Medicine, Kansai Medical University, Osaka, Japan.
Background: Ventricular late potentials predict subsequent arrhythmic events and sudden death in postinfarction patients. Late potentials are recorded in the infarcted area, but it should be pointed out that they probably represent micropotentials in the area of delayed conduction found among isolated areas of scar tissue and normal myocardium.
Hypothesis: The study was undertaken to investigate the relationship between chronic reversible myocardial ischemia, such as stunned or hibernating myocardium, and late potentials in 38 patients with a first myocardial infarction.
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