An Evolutionary-Neural Mechanism for Arrhythmia Classification With Optimum Features Using Single-Lead Electrocardiogram-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An Evolutionary-Neural Mechanism for Arrhythmia Classification With Optimum Features Using Single-Lead Electrocardiogram

Published:2022 Issue: Volume:10 Page:99050-99065
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nasim Amnah¹^ORCID,Nchekwube David C.²^ORCID,Munir Farzeen³^ORCID,Kim Yoon Sang¹

Affiliation:

1. Department of Computer Science and Engineering, Institute for Bio-Engineering Application Technology, KOREATECH, Cheonan-si, Republic of Korea

2. Department of Information Engineering, Marche Polytechnic University, Ancona, Italy

3. School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea

Funder

Postdoctoral Scholarship Program of KOREATECH

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09874827.pdf?arnumber=9874827

Reference80 articles.

1. Inter-Patient ECG Heartbeat Classification with Temporal VCG Optimized by PSO

2. A deep convolutional neural network model to classify heartbeats

3. Dictionary learning for VQ feature extraction in ECG beats classification

4. Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals

5. HeartNetEC: a deep representation learning approach for ECG beat classification

Cited by 2 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

1. An RNN-Bi LSTM Based Multi Decision GAN Approach for the Recognition of Cardiovascular Disease (CVD) From Heart Beat Sound: A Feature Optimization Process;IEEE Access;2024

2. Arrhythmia Classifier Based on Ultra-Lightweight Binary Neural Network;2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2023-06-29

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3