ULECGNet: An Ultra-Lightweight End-to-End ECG Classification Neural Network

IEEE Journal of Biomedical and Health Informatics(2022)

引用 16|浏览46
暂无评分
摘要
ECG classification is a key technology in intelligent electrocardiogram (ECG) monitoring. In the past, traditional machine learning methods such as support vector machine (SVM) and K-nearest neighbor (KNN) have been used for ECG classification, but with limited classification accuracy. Recently, the end-to-end neural network has been used for ECG classification and shows high classification accura...
更多
查看译文
关键词
Electrocardiography,Neural networks,Feature extraction,Heart beat,Monitoring,Real-time systems,Power demand
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要