Developing of robust and high accurate ECG beat classification by combining Gaussian mixtures and wavelets features
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology Nuclear Medicine and imaging,Biomedical Engineering,Biophysics,General Physics and Astronomy
Link
http://link.springer.com/article/10.1007/s13246-019-00722-z/fulltext.html
Reference30 articles.
1. Zadeh A, Khazaee A, Ranaee V (2010) Classification of the electrocardiogram signals using supervised classifiers and efficient features. Comput Method Progr Biomed 99(2):179–194
2. Yaghoobi M, Nam S, Gribonval R, Davies M (2013) Constrained overcomplete analysis operator learning for cosparse signal modelling. IEEE Trans Signal Process 61(9):2341–2355
3. Alqudah A (2017) An enhanced method for real-time modelling of cardiac related biosignals using Gaussian mixtures. J Med Eng Technol 41(8):600–611
4. Sarfraz M, Khan A, Li F (2014) Using independent component analysis to obtain feature space for reliable ECG Arrhythmia classification. In: 2014 IEEE international conference on bioinformatics and biomedicine (BIBM)
5. Kanaujia M, Srivastava G (2015) ECG signal decomposition using PCA and ICA. In: 2015 National Conference on Recent Advances in Electronics & Computer Engineering (RAECE)
Cited by 32 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. Predictive Modeling of Brain Cancer Utilizing Meta-Heuristic Optimization: A Crow Search Algorithm Approach;2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE);2024-05-16
2. Unraveling Arrhythmias with Graph-Based Analysis: A Survey of the MIT-BIH Database;Computation;2024-01-25
3. Machine learning based hybrid anomaly detection technique for automatic diagnosis of cardiovascular diseases using cardiac sympathetic nerve activity and electrocardiogram;Biomedical Engineering / Biomedizinische Technik;2023-10-12
4. A Novel Approach for Classifying Brain Tumours Combining a SqueezeNet Model with SVM and Fine-Tuning;Electronics;2022-12-29
5. Robust Arrhythmia Classification Based on QRS Detection and a Compact 1D-CNN for Wearable ECG Devices;IEEE Journal of Biomedical and Health Informatics;2022-12
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