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Classification of Cardiovascular ECGs Using MODWPT-Based Feature Extraction: A Comparative Study on Four Ailments from MIT-BIH Databases

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Al-Azhar University – Gaza
Alkayyali Z.K.D.; Idris S.A.B.; Abu-Naser S.S.
Alkayyali, Zakaria K. D. (58187245700); Idris, Syahril Anuar Bin (56342664200); Abu-Naser, Samy S. (26533902900)
58187245700; 56342664200; 26533902900
2025
Lecture Notes in Networks and Systems
Classification of Cardiovascular ECGs Using MODWPT-Based Feature Extraction: A Comparative Study on Four Ailments from MIT-BIH Databases
1364 LNNS
225
236
Bhateja V.; Abdul Hameed V.; Udgata S.K.; Tang J.
Springer Science and Business Media Deutschland GmbH
University Malaysia of Computer Science and Engineering (UNIMY), Cyberjaya, Malaysia; Data Science, Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
Alkayyali Z.K.D., University Malaysia of Computer Science and Engineering (UNIMY), Cyberjaya, Malaysia; Idris S.A.B., University Malaysia of Computer Science and Engineering (UNIMY), Cyberjaya, Malaysia; Abu-Naser S.S., Data Science, Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
S.S. Abu-Naser; Data Science, Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine; email: abunaser@alazhar.edu.ps
0
10.1007/978-981-96-5220-4_19
Bandpass filters; Biomedical engineering; Biomedical signal processing; Cardiology; Classification (of information); Database systems; Diseases; Electrocardiograms; Feature extraction; Logistic regression; Nearest neighbor search; Random forests; Support vector machines; Wavelet analysis; Boosting classifiers; Comparatives studies; Discrete wavelet packet transforms; Electrocardiogram signal; Features extraction; Gradient boosting; Logistics regressions; MIT-BIH database; Nearest-neighbour; Random forest classifier; Extraction