Ensemble Voting Method for Phonocardiogram Heart Signal Classification Using FFT Features

Ensemble Voting Method for Phonocardiogram Heart Signal Classification Using FFT Features

Heart disease is still one of the leading causes of death worldwide, hence the need for effective diagnostic tools. Phonocardiogram (PCG) signals have been explored as a complementary approach to electrocardiogram (ECG) to detect cardiac abnormalities. This research investigates the classification o...

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Bibliographic Details
Main Authors: Adisaputra Zidha Noorizki, Heri Pratikno, Weny Indah Kusumawati
Format: Article
Language:English
Published: Politeknik Negeri Batam 2024-11-01
Series:Journal of Applied Informatics and Computing
Subjects:
phonocardiogram
ensemble learning
fft features
soft voting
lstm
gru
tcn
Online Access:https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/8704
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