See discussions, stats, and author profiles for this publication at: https://lication/281352972 Recognition of epilepsy electroencephalography based on AdaBoost algorithm Article in Acta Physica Sinica -Chinese Edition- · June 2015 DOI: .128701 CITATIONS READS 2 51 3 authors, including: Tao Zhang Mingyang Li Jilin University Jilin University 8 PUBLICATIONS 11 CITATIONS 9 PUBLICATIONS 11 CITATIONS SEE PROFILE SEE PROFILE Some of the authors of this publication are also working on these related projects: Natural Science Foundation for Science and Technology Development Plan of Jilin Province, China View project All content following this page was uploaded by Tao Zhang on 31 August 2015. The user has requested enhancement of the downloaded file. 基于 AdaBoost 算法的癫痫脑电信号识别 张涛陈万忠李明阳 Recognition of epilepsy electroencephalography based on AdaBoost algorithm Zhang Tao Chen Wan-Zhong Li Ming-Yang 引用信息 Citation: Acta Physica Sinica, 64, 128701 (2015) DOI: .128701 在线阅读 View online: http://dx./.128701 当期内容 View table of contents: ./CN/Y2015/V64/I12 您可能感兴趣的其他文章 Articles you may be interested in 基于自适应模板法的脑电信号转移熵分析 Transfer entropy analysis of electroencephalogram based on adaptive template method 64(8): 088701 http://dx./.088701 改进的相对转移熵的癫痫脑电分析 Analysis on relative transfer of entropy based on improved epileptic EEG 63(21): 218701 http://dx./.218701 基于 Kendall 改进的同步算法癫痫脑网络分析 An improved synchronous algorithm based on Kendall for analyzing epileptic work 63(20): 208705 http://dx./.208705 颠倒睡眠状态调制心率变异性信号的功率谱和基本尺度熵分析 Analysis on power spectrum and base-scale entropy for heart rate variability signals modulated by re- versed sleep state 63(19): 198703 http://dx./.198703 基于改进功率谱熵的抑郁症脑电信号活跃性研究 Activity analysis of depression electroencephalogram based on modified power spectral entropy
