Application of fractal dimension for EEG based diagnosis of encephalopathy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Surfaces, Coatings and Films,Hardware and Architecture,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s10470-019-01388-z.pdf
Reference37 articles.
1. Faigle, R., Sutter, R., & Kaplan, P. W. (2013). The electroencephalography of encephalopathy in patients with endocrine and metabolic disorders. Journal of Clinical Neurophysiology: Official Publication of the American Electroencephalographic Society, 30(5), 505–516.
2. Higuchi, T. (1988). Approach to an irregular time series on the basis of the fractal theory. Physica D: Nonlinear Phenomena, 31(2), 277–283.
3. Katz, M. J. (1988). Fractals and the analysis of waveforms. Computers in Biology and Medicine, 18(3), 145–156.
4. Arle, J. E., & Simon, R. H. (1990). An application of fractal dimension to the detection of transients in the electroencephalogram. Electroencephalography and Clinical Neurophysiology, 75(4), 296–305.
5. Accardo, A., Affinito, M., Carrozzi, M., & Bouquet, F. (1997). Use of the fractal dimension for the analysis of electroencephalographic time series. Biological Cybernetics, 77(5), 339–350.
Cited by 18 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. Radio Signal Modulation Recognition Method Based on Hybrid Feature and Ensemble Learning: For Radar and Jamming Signals;Sensors;2024-07-24
2. Analyzing Eye Paths Using Fractals;Advances in Neurobiology;2024
3. Nonlinear and chaos features over EMD/VMD decomposition methods for ictal EEG signals detection;Computer Methods in Biomechanics and Biomedical Engineering;2023-10-20
4. Using nonlinear analysis and neural network to classify bipolar I disorder electroencephalogram signals from normal electroencephalograms;Network Modeling Analysis in Health Informatics and Bioinformatics;2023-09-05
5. EEG Signal Classification and Analysis for Upper Limbs Using SVM and Random Forest Algorithm;2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN);2023-06
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