會議論文
| 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 | en |
| 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 | ITA |
| 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. |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/81287 ) |