Comparison of classification methods on EEG signals based on wavelet packet decomposition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-014-1786-7.pdf
Reference26 articles.
1. Parvinnia E, Sabeti M, Zolghadri Jahromi M, Boostani R (2014) Classification of EEG signals using adaptive weighted distance nearest neighbor algorithm. J King Saud Univ-Comput Inform Sci 26(1):1–6
2. Srinivasan V, Eswaran C, Sriraam N (2007) Approximate entropy-based epileptic EEG detection using artificial neural networks. IEEE Trans Inform Technol Biomed 11(3):288–295
3. Guo L, Wu Y, Cao T, Yan W, Shen X (2011) Classification of mental task from EEG signals using immune feature weighted support vector machines. IEEE Trans Magn 47(5):866–869
4. Murugavel ASM, Ramakrishnan S (2012) Multi-class SVM for EEG signal classification using wavelet based approximate entropy. CCSIT 2012, pp 335–344
5. Burke DP, Kelly SP, de Chazal P, Reilly RB, Finucane C (2005) A parametric feature extraction and classification strategy for brain–computer interfacing. IEEE Trans Neural Syst Rehabil Eng 13(1):12–17
Cited by 48 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. EEG-based motor imagery classification with quantum algorithms;Expert Systems with Applications;2024-08
2. An EEG-Based Seizure Recognition Method Using Dynamic Routing;IEEE Access;2024
3. Effect of the period of EEG signals on the decoding of motor information;Physical and Engineering Sciences in Medicine;2023-12-27
4. Epileptic seizure classification using fuzzy lattices and Neural Reinforcement Learning;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2023-12-07
5. Enhancing Seizure Detection from EEG Signals-Optimization Driven Feature Selection and Classification using Artificial Neural Networks;2023 IEEE Silchar Subsection Conference (SILCON);2023-11-03
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