Wan Azani Wan Mustafa
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Preferred name
Wan Azani Wan Mustafa
Official Name
Wan Azani, Wan Mustafa
Alternative Name
Mustafa, W.
Azani Mustafa, Wan
Mustaffa, Wan Azani
Wan Mustafa, Wan Azani
Main Affiliation
Scopus Author ID
57219421621
Researcher ID
J-4603-2014

Research Output
Now showing 1 - 1 of 1
  • Publication
    Heart Arrhythmia Classification Using Deep Learning: A Comparative Study
    ( 2023)
    Radi Omar
    ;
    Alslatie Mohammad
    ;
    Wan Azani Wan Mustafa
    ;
    Alquran Hiam
    ;
    Badarneh Alaa
    ;
    Mohammed F.F.
    ;
    Ahmed Alkhayyat
    Heart arrhythmia is an irregular heartbeat that causes heart problems. It can be classified by their seriousness into serious and non-serious arrhythmia. Mainly to diagnose heart arrhythmias, we use Electrocardiogram (ECG). In this paper, the authors compared three different models of classifiers: Convolutional Neural Network, Dense Neural Network and Long Short-Term Memory to classify cardiac arrhythmia into two types normal and abnormal, using the MIT-BIH database. The results show that CNN and DNN have the best result of the models with 99% accuracy while LSTM shows 60 accuracy percent.
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