教師資料查詢 | 類別: 會議論文 | 教師: 周建興 Chien-hsing Chou (瀏覽個人網頁)

標題:Extracting the Critical Frequency Bands to Classify Vigilance States of Rats by Using a Novel Feature Selection Algorithm
學年101
學期2
發表日期2013/02/24
作品名稱Extracting the Critical Frequency Bands to Classify Vigilance States of Rats by Using a Novel Feature Selection Algorithm
作品名稱(其他語言)
著者Chou, Chien-Hsing; Kuo, Chung-Chih; Yu, Zong-En; Tai1, Hsien-Pang; Chen, Ke-Wei
作品所屬單位淡江大學電機工程學系
出版者
會議名稱2013 2nd International Conference on Information Computer Application (ICICA 2013)
會議地點Rome, Italy
摘要Identifying mammalian vigilance states has recently become an important topic in biological science research. The biological researchers concern not only to improve the accuracy rate for classifying the vigilance states, but also to extract the meaningful frequency bands. In this study, we propose a novel feature selection to extract the critical frequency bands of rat’s EEG signals. The proposed algorithm adopts the concept of neighborhood relation during adding and eliminating a candidate feature. In the experiments, the proposed method shows better accuracy rate, and find out the feature subset which locate on the critical frequency bands for recognizing rat’s vigilance states.
關鍵字feature selection;frequency band;pattern recognition;vigilance states
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20130224~20130225
通訊作者
國別義大利
公開徵稿Y
出版型式電子版
出處2013 2nd International Conference on Information Computer Application (ICICA 2013), 4p.
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