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Erschienen in:
Analysis of the Acoustic Power Emitted by a Physiotherapeutic Ultrasound Equipment Used at the Brazilian Air Force Academy Kapitel lesen Erstes Kapitel lesen

2022 | OriginalPaper | Buchkapitel

Comparison Between J48 and MLP on QRS Classification Through Complexity Measures

verfasst von : L. G. Hübner, A. T. Kauati

Erschienen in: XXVII Brazilian Congress on Biomedical Engineering

Verlag: Springer International Publishing

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Abstract

The aging process makes changes in the cardiovascular structure, increasing the risk of diseases, making people more dependent and vulnerable. The Brazilian National Institute of Social Security points out that every year around 250 thousand new cases of stroke are documented in Brazil, around 40% of retirement requests are due to heart attacks or strokes. Heart diseases are one of the most prominent causes of death in the world. The majority of sudden death cases occur without previous symptoms, while some non-lethal arrhythmia’s such as ventricular extra-systoles precede others directly related to it. With that in mind, it is advisable to monitor high risk individuals, who are not hospitalized, on a daily basis. Considering the aging of the population and the increasing number of people living alone, due to it remote monitoring systems, for various types of biomedical signals, are important. The goal of this paper is to evaluate two approaches of QRS classification using the BIH-Arrhythmia Database comparing the performance obtained on each. The algorithms tested were: J48 and Multilayer Perceptron, one of the approaches of this work obtained the weighted average Sensitivity 96.91% and Precision of 96.81% for J48 and 94.77% Sensitivity and 93.87% Precision for MLP.

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Metadaten
Titel
Comparison Between J48 and MLP on QRS Classification Through Complexity Measures
verfasst von
L. G. Hübner
A. T. Kauati
Copyright-Jahr
2022
Buch
XXVII Brazilian Congress on Biomedical Engineering

Print ISBN: 978-3-030-70600-5

Electronic ISBN: 978-3-030-70601-2

Copyright-Jahr: 2022

DOI
https://doi.org/10.1007/978-3-030-70601-2_270

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