ECG signal classification to detect heart arrhythmia using ELM and CNN
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-14233-9.pdf
Reference50 articles.
1. Acharya UR, Fujita H, Oh SL, Hagiwara Y, Tan JH, Adam M (2017) Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals. Inf Sci 415:190–198
2. Amrani M, Hammad M, Jiang F, Wang K, Amrani A (2018) Very deep feature extraction and fusion for arrhythmias detection. Neural Comput Appl 30(7):2047–2057
3. Andersen RS, Peimankar A (2019) A deep learning approach for real-time detection of atrial fibrillation. Expert Syst Appl 115:465–473
4. Atal DK, Singh M (2020) Arrhythmia classification with ECG signals based on the optimization-enabled deep convolutional neural network. Comput Methods Prog Biomed 196:105607
5. Bhagyalakshmi V, Pujeri RV, Devanagavi GD (2018) GB-SVNN: genetic BAT assisted support vector neural network for arrhythmia classification using ECG signals. J King Saud Univ Comput Inf Sci 33(1):54–67
Cited by 6 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. Classification of hand movements based on EMD-CCT feature extraction method through EMG using machine learning;Multimedia Tools and Applications;2024-04-27
2. Arrhythmia Identification and Classification using Runge Kutta Optimizer-Based Hyperparameter Optimization for Long Short Term Memory;Journal of The Institution of Engineers (India): Series B;2024-04-10
3. Arrhythmia classification using ECG signal: A meta-heuristic improvement of optimal weighted feature integration and attention-based hybrid deep learning model;Biomedical Signal Processing and Control;2024-01
4. An intelligent diagnostic method of ECG signal based on Markov transition field and a ResNet;Computer Methods and Programs in Biomedicine;2023-12
5. A Gated Recurrent Unit Based Continual Normalization Model for Arrythmia Classification Using ECG Signals;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02
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