Arrhythmia Classification with ECG signals based on the Optimization-Enabled Deep Convolutional Neural Network
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications,Software
Reference48 articles.
1. An Energy-Efficient ECG Processor With Weak-Strong Hybrid Classifier for Arrhythmia Detection;Chen;IEEE Transactions on Circuits and Systems II: Express Briefs,2018
2. An Automatic Cardiac Arrhythmia Classification System With Wearable Electrocardiogram;Xia;IEEE Access,2018
3. Automated ECG Classification Using Dual Heartbeat Coupling Based on Convolutional Neural Network;Zhai;IEEE Access,2018
4. Heartbeat Classification Using Abstract Features From the Abductive Interpretation of the ECG;Tomás;IEEE Journal of Biomedical and Health Informatics,2018
5. Life-Threatening Ventricular Arrhythmia Detection With Personalized Features;Cheng;IEEE Access,2017
Cited by 82 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 effective hybrid optimal deep learning approach using BI-LSTM and restricted Boltzmann machines whale optimization to detect arrhythmia;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-01-29
2. YOLO-ECG: multi-stage ECG arrhythmia classification using deep learning based YOLO network for portable monitoring;Journal of Intelligent & Fuzzy Systems;2024-01-10
3. Cardiac Arrhythmia multiclass classification using optimized FLS-based 3D-CNN;Journal of Intelligent & Fuzzy Systems;2024-01-10
4. Abnormal Cardiac Condition Classification of ECG Using 3DCNN - A Novel Approach;IFMBE Proceedings;2024
5. Deep-Learning-Based Arrhythmia Detection Using ECG Signals: A Comparative Study and Performance Evaluation;Diagnostics;2023-12-05
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