A Novel Wearable Electrocardiogram Classification System Using Convolutional Neural Networks and Active Learning-Reference-Cited by-全球学者库

A Novel Wearable Electrocardiogram Classification System Using Convolutional Neural Networks and Active Learning

Author:

Xia Yufa,Xie Yaoqin

Funder

National Key Research and Development Program of China

Leading Talent of Special Support Project in Guangdong

Shenzhen Key Technical Research Project

Science Foundation of Guangdong

Beijing Center for Mathematics and Information Interdisciplinary Sciences

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

Cited by 45 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. A Dual Stage Resource Efficient ECG Classifier;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19

3. Exploiting FPGA Capabilities for Accelerated Biomedical Computing;2023 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA);2023-09-20

5. Analysis of Cardiovascular Arrhythmia Prediction Using Different Machine Learning Models;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14