loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.191.216.163

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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

@conference{cardiotechnix14,
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},
year={2014},
pages={17-21},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005069600170021},
isbn={978-989-758-055-0},
}

TY - CONF

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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic