Arrythmia Classification Using MATLAB® Classification Learner App

Cesar N. Silva, Fernanda Lopes, Jefferson A. Matos, Maria Claudia F. Castro

2023

Abstract

Vital sign monitoring is becoming a part of our daily lives, emerging as a trend of smart wearable devices used to manage health. Cardiac arrhythmia is any variation in the normal heartbeat rhythm, causing the heart to beat improperly. This work presents a study on the classification of cardiac arrhythmias in 4 classes, Normal (N), Supraventricular Ectopic (SVE), Ventricular Ectopic (LV), and Fusion of Normal and Ventricular (F). Using the MIT-BIH Arrhythmia Database and the Classification Learner App from MATLAB® for training, it was possible to investigate 24 models, where the Subspace KNN Ensemble obtained the best accuracy (74.4%) and was later used for implementation in the suggested user interface application.

Paper Citation

in Harvard Style

N. Silva C., Lopes F., A. Matos J. and Claudia F. Castro M. (2023). Arrythmia Classification Using MATLAB® Classification Learner App. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 4: BIOSIGNALS; ISBN 978-989-758-631-6, SciTePress, pages 220-225. DOI: 10.5220/0011666300003414

in Bibtex Style

@conference{biosignals23,
author={Cesar N. Silva and Fernanda Lopes and Jefferson A. Matos and Maria Claudia F. Castro},
title={Arrythmia Classification Using MATLAB® Classification Learner App},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 4: BIOSIGNALS},
year={2023},
pages={220-225},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011666300003414},
isbn={978-989-758-631-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 4: BIOSIGNALS
TI - Arrythmia Classification Using MATLAB® Classification Learner App
SN - 978-989-758-631-6
AU - N. Silva C.
AU - Lopes F.
AU - A. Matos J.
AU - Claudia F. Castro M.
PY - 2023
SP - 220
EP - 225
DO - 10.5220/0011666300003414
PB - SciTePress