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Authors: Laura Burattini 1 ; Wojciech Zareba 2 and Roberto Burattini 1

Affiliations: 1 Polytechnic University of Marche, Italy ; 2 University of Rochester, United States

ISBN: 978-989-8111-18-0

Keyword(s): Signal processing of the digital electrocardiographic signal, Repolarization variability, T-wave alternans.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing

Abstract: Aim of this study was the assessment of a T-wave alternans (TWA) identification procedure based on application of an adaptive match filter (AMF) method, recently developed by ourselves, to a 20-minute digital ECG recording (ECG20). Three-lead ECG20 tracings from 35 patients who survived an acute myocardial infarction (AMI-group) and 35 healthy subjects (H-group) were analysed. The AMI-group showed, on average, increased levels of TWA (P<0.01). Considering that noise may cause false positive TWA detection, a threshold (THRTWA) was defined for TWA magnitude (TWAM) as the mean TWAM +2SD over the H-group. TWAM exceeding this threshold identified a TWA-positive (TWA+) subject as one at increased risk of sudden cardiac death. Fifteen (43%) AMI-patients vs. zero H-subjects were detected as TWA+. This result meets clinical expectation. TWA manifested as a non stationary phenomenon that could even be missed in all TWA+ subjects if our AMF (as well as any other technique) was applied to a singl e short-term 128-beat ECG series, as usually done in previous reports. In conclusion, our AMF-based TWA identification technique, applied to 20-minute ECG recordings, yields a good compromise between reliability of time-varying TWA identification and computational efforts. (More)

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Paper citation in several formats:
Burattini L.; Zareba W.; Burattini R. and (2008). IDENTIFICATION OF TIME-VARYING T-WAVE ALTERNANS FROM 20-MINUTE ECG RECORDINGS - Issues Related to TWA Magnitude Threshold and Length of ECG Time Series.In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 186-192. DOI: 10.5220/0001060601860192

@conference{biosignals08,
author={Laura Burattini and Wojciech Zareba and Roberto Burattini},
title={IDENTIFICATION OF TIME-VARYING T-WAVE ALTERNANS FROM 20-MINUTE ECG RECORDINGS - Issues Related to TWA Magnitude Threshold and Length of ECG Time Series},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={186-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001060601860192},
isbn={978-989-8111-18-0},
}

TY - CONF

JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)
TI - IDENTIFICATION OF TIME-VARYING T-WAVE ALTERNANS FROM 20-MINUTE ECG RECORDINGS - Issues Related to TWA Magnitude Threshold and Length of ECG Time Series
SN - 978-989-8111-18-0
AU - Burattini, L.
AU - Zareba, W.
AU - Burattini, R.
PY - 2008
SP - 186
EP - 192
DO - 10.5220/0001060601860192

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