Toward optimal feature and time segment selection by divergence method for EEG signals classification | |
Wang, Jie; Feng, Zuren; Lu, Na; Luo, Jing | |
刊名 | COMPUTERS IN BIOLOGY AND MEDICINE
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2018 | |
卷号 | 97页码:161-170 |
关键词 | Classification EEG signals Feature selection Kullback-Leibler divergence Time segment selection |
ISSN号 | 0010-4825 |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2923039 |
专题 | 西安交通大学 |
推荐引用方式 GB/T 7714 | Wang, Jie,Feng, Zuren,Lu, Na,et al. Toward optimal feature and time segment selection by divergence method for EEG signals classification[J]. COMPUTERS IN BIOLOGY AND MEDICINE,2018,97:161-170. |
APA | Wang, Jie,Feng, Zuren,Lu, Na,&Luo, Jing.(2018).Toward optimal feature and time segment selection by divergence method for EEG signals classification.COMPUTERS IN BIOLOGY AND MEDICINE,97,161-170. |
MLA | Wang, Jie,et al."Toward optimal feature and time segment selection by divergence method for EEG signals classification".COMPUTERS IN BIOLOGY AND MEDICINE 97(2018):161-170. |
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