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Authors: Gabriel Tozatto Zago ; Rodrigo Varejão Andreão and Mario Sarcinelli Filho

Affiliation: Federal Institut of Espírito Santo, Brazil

Keyword(s): Left Ventricle Hypertrophy, Electrocardiogram, Segmentation.

Related Ontology Subjects/Areas/Topics: Cardiovascular Technologies ; Electrocardiology and Biological Signal Processing ; Health Engineering and Technology Applications ; Risk Stratification Markers (Heart Rate Variability, Heart Rate Turbulence, Etc) ; Ventricular Repolarization Analysis

Abstract: This works proposes an electrocardiogram based approach for left ventricle hypertrophy (LVH) classification. LVH classification is based on features extracted from the ECG signal, where the main features are the ones related to the QRS wave amplitude and duration. Instead of working on only one LVH criteria, we employed a score which explores the complementarity of the best criteria through a fusion strategy. The best criteria are the ones which discriminate normal and LVH ECGs according to the t-test. We carried out experiments in a database with a group of fifty men, where a half has LVH. The gold standard to detect LVH was the left ventricle mass index measured using echocardiography. Our approach achieved a sensitivity of 69.7%, outperforming all LVH criteria.


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Paper citation in several formats:
Tozatto Zago, G.; Andreão, R. and Sarcinelli Filho, M. (2014). ECG-based Detection of Left Ventricle Hypertrophy. In Proceedings of the 2nd International Congress on Cardiovascular Technologies - CARDIOTECHNIX; ISBN 978-989-758-055-0, SciTePress, pages 17-21. DOI: 10.5220/0005069600170021

author={Gabriel {Tozatto Zago}. and Rodrigo Varejão Andreão. and Mario {Sarcinelli Filho}.},
title={ECG-based Detection of Left Ventricle Hypertrophy},
booktitle={Proceedings of the 2nd International Congress on Cardiovascular Technologies - CARDIOTECHNIX},


JO - Proceedings of the 2nd International Congress on Cardiovascular Technologies - CARDIOTECHNIX
TI - ECG-based Detection of Left Ventricle Hypertrophy
SN - 978-989-758-055-0
AU - Tozatto Zago, G.
AU - Andreão, R.
AU - Sarcinelli Filho, M.
PY - 2014
SP - 17
EP - 21
DO - 10.5220/0005069600170021
PB - SciTePress