Journal of Electronic Science and Technology, Volume. 22, Issue 2, 100249(2024)
Efficient ECG classification based on Chi-square distance for arrhythmia detection
Fig. 1. Arrhythmia detection based Chi-square classification with the medical organization.
Fig. 2. Schematic representation of the entire methodology, including the preprocessing, feature selection, and the Chi-square-based classifier.
Fig. 3. Results of the preprocessing step (a) before and (b) after normalization.
Fig. 6. Confusion matrices of (a) KNN, (b) RF, (c) SVM, (d) NB, (e) DT, and (f) our classifier (Chi-square).
Fig. 7. Confusion matrices of (a) KNN, (b) RF, (c) SVM, (d) NB, (e) DT, and (f) our classifier (Chi-square).
Fig. 8. Evaluated performance of classifiers (a) without and (b) with PSO feature selection.
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Dhiah Al-Shammary, Mustafa Noaman Kadhim, Ahmed M. Mahdi, Ayman Ibaida, Khandakar Ahmedb. Efficient ECG classification based on Chi-square distance for arrhythmia detection[J]. Journal of Electronic Science and Technology, 2024, 22(2): 100249
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Received: Dec. 20, 2023
Accepted: Apr. 2, 2024
Published Online: Aug. 8, 2024
The Author Email: Kadhim Mustafa Noaman (mustafa.noaman@qu.edu.iq)