loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: José Torres 1 ; Jorge Oliveira 2 and Elsa Ferreira Gomes 1 ; 3

Affiliations: 1 Instituto Superior de Engenharia do Porto, Porto, Portugal ; 2 Universidade Portucalense Infante D. Henrique, Porto, Portugal ; 3 INESC TEC, Porto, Portugal

Keyword(s): PCG, Deep Learning, Heart Disease, CNN, SMOTE.

Abstract: Cardiac auscultation is a key screening tool used for cardiovascular evaluation. When used properly, it speeds up treatment and thus improving the patient’s life quality. However, the analysis and interpretation of the heart sound signals is subjective and dependent of the physician’s experience and domain knowledge. A computer assistant decision (CAD) system that automatically analyse heart sound signals, can not only support physicians in their clinical decisions but also release human resources to other tasks. In this paper, and to the best of our knowledge, for the first time a SMOTE strategy is used to boost a Convolutional Neural Network performance on the detection of murmur waves. Using the SMOTE strategy, a CNN achieved an overall of 88.43%.

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 18.218.184.214

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:
Torres, J.; Oliveira, J. and Gomes, E. (2022). The Usage of Data Augmentation Strategies on the Detection of Murmur Waves in a PCG Signal. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIOSIGNALS; ISBN 978-989-758-552-4; ISSN 2184-4305, SciTePress, pages 128-132. DOI: 10.5220/0010784500003123

@conference{biosignals22,
author={José Torres. and Jorge Oliveira. and Elsa Ferreira Gomes.},
title={The Usage of Data Augmentation Strategies on the Detection of Murmur Waves in a PCG Signal},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIOSIGNALS},
year={2022},
pages={128-132},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010784500003123},
isbn={978-989-758-552-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIOSIGNALS
TI - The Usage of Data Augmentation Strategies on the Detection of Murmur Waves in a PCG Signal
SN - 978-989-758-552-4
IS - 2184-4305
AU - Torres, J.
AU - Oliveira, J.
AU - Gomes, E.
PY - 2022
SP - 128
EP - 132
DO - 10.5220/0010784500003123
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