Epileptic seizure classification using shifting sample difference of EEG signals
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-022-03737-9.pdf
Reference68 articles.
1. Alickovic E, Kevric J, Subasi A (2018) Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction. Biomed Signal Process Control 39:94–102
2. Alturki FA, AlSharabi K, Abdurraqeeb AM, Aljalal M (2020) Eeg signal analysis for diagnosing neurological disorders using discrete wavelet transform and intelligent techniques. Sensors 20(9):2505
3. Andrzejak RG, Lehnertz K, Mormann F, Rieke C, David P, Elger CE (2001) Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state. Phys Rev E 64(6):061907
4. Bajaj V, Rai K, Kumar A, Sharma D (2017) Time-frequency image based features for classification of epileptic seizures from eeg signals. Biomed Phys Eng Express 3(1):015012
5. Beghi E (2020) The epidemiology of epilepsy. Neuroepidemiology 54(2):185–191
Cited by 16 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. Higuchi versus Katz fractal dimensions based features extraction method for epilepsy diagnosis using EEG signals;2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP);2024-07-11
2. A hybrid EEG classification model using layered cascade deep learning architecture;Medical & Biological Engineering & Computing;2024-03-20
3. Inter-intra feature for the complementary convolutional neural network in the effective classification of epileptic seizures;Multimedia Tools and Applications;2024-03-15
4. Epileptic EEG Signals Classification Based on Multi-Criteria Decision Aid Classifier Ensemble Approach;2024 National Conference on Communications (NCC);2024-02-28
5. Nonlinear dimensionality reduction based visualization of single-cell RNA sequencing data;Journal of Analytical Science and Technology;2024-01-11
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