CNN-LSTM Based Model for ECG Arrhythmias and Myocardial Infarction Classification
Author:
Publisher
ASTES Journal
Subject
Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)
Link
https://www.astesj.com/publications/ASTESJ_050573.pdf
Reference19 articles.
1. E. J. Benjamin et al., Heart Disease and Stroke Statistics-2017 Update, 135(10), 2017.
2. S. Saechia, J. Koseeyaporn, and P. Wardkein, "Human identification system based ECG signal," IEEE Reg. 10 Annu. Int. Conf. Proceedings/TENCON, 2007, 2-5, 2005, doi: 10.1109/TENCON.2005.300986.
3. M. A. Serhani, H. T. El Kassabi, H. Ismail, and A. N. Navaz, "ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges," Sensors, 2020, doi: 10.3390/s20061796.
4. U. Desai, R. J. Martis, C. G. Nayak, K. Sarika, and G. Seshikala, "Machine intelligent diagnosis of ECG for arrhythmia classification using DWT, ICA and SVM techniques," 12th IEEE Int. Conf. Electron. Energy, Environ. Commun. Comput. Control (E3-C3), INDICON 2015, 2-5, 2016, doi: 10.1109/INDICON.2015.7443220.
5. G. Pan, Z. Xin, S. Shi, and D. Jin, "Arrhythmia classification based on wavelet transformation and random forests," Multimed. Tools Appl., 77(17), 21905-21922, 2018, doi: 10.1007/s11042-017-5225-5.
Cited by 14 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. ECGencode: Compact and computationally efficient deep learning feature encoder for ECG signals;Expert Systems with Applications;2024-12
2. Beat-wise Classification of Arrhythmia Using Novel Combination of ECG Signal-Specific and Signal-Independent Features with ML Algorithms;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13
3. Study of Multi-class Arrhythmia Detection and Classification from ECG data using Deep learning;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13
4. GAN-Based Data Imbalance Techniques for ECG Synthesis to Enhance Classification Using Deep Learning Techniques and Evaluation;2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2023-01-05
5. Non-Contact Respiration Rate Measurement From Thermal Images Using Multi-Resolution Window and Phase-Sensitive Processing;IEEE Access;2023
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