Comparison of shallow and deep learning methods of ECG signals clas-sification for arrhythmia detection

The research aimed to compare the classification performance of arrhythmia classification from the ECG signal dataset from the Massachusetts Institute of Technology–Beth Israel Hospital (MIT-BIH) database. Shallow learning methods that were used in this study are Support Vector Machine,  Naïve Baye...

全面介紹

書目詳細資料

發表在:	Journal of Computer Sciences Institute
Main Authors:	Dodon Turianto Nugrahadi, Rudy Herteno, Dwi Kartini, Muhammad Haekal, Mohammad Reza Faisal
格式:	Article
語言:	英语
出版:	Lublin University of Technology 2023-06-01
主題:	ECG signals arrhythmia classification shallow learning deep learning
在線閱讀:	https://ph.pollub.pl/index.php/jcsi/article/view/3273