Ventricular Arrhythmia Classification Using Classical and Neural Network Approaches

被引：0
|
作者：
L. A. Manilo [1 ]
A. P. Nemirko [1 ]
E. G. Evdakova [1 ]
机构：
[1] St. Petersburg Electrotechnical University “LETI”,
来源：
Pattern Recognition and Image Analysis | 2024年 / 34卷 / 4期
关键词：
electrocardiogram signals frequency analysis; short electrocardiogram signals segments; classification of ventricular arrhythmias; classical machine learning methods; neural network methods;
D O I：
10.1134/S1054661824701037
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1015 / 1020
页数：5
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