Automated sleep staging using single EEG channel for REM sleep deprivation

Yu Hsun Lee*, Yong-Sheng Chen, Li Fen Chen

*此作品的通信作者

研究成果: Conference contribution同行評審

13 引文 斯高帕斯(Scopus)

摘要

In medical literatures, it has been reported that the increased REM (rapid eye movement) density is one of the characters of depressed sleep. Some experiments were conducted to confirm that REM sleep deprivation (REM-SD) for a period of time is therapeutic for endogenous depressed patients. However, because of its high complexity and intensive labor requirement, this therapy has not yet been proved validity by a sufficient amount of depressed patients. Therefore, we propose to develop an automated sleep staging system using only single EEG channel to achieve on-line detection for REM state during sleep. For classifier design, we use a dataset of 25 subjects and the staging accuracy can achieve 80%. Once the REM state is detected by the system, the system will alarm the subject to deprive the REM sleep. The effect of REM sleep deprivation can be examined by hypnogram and the proposed system will be applied for clinical trials of depression therapy.

原文English
主出版物標題Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009
頁面439-442
頁數4
DOIs
出版狀態Published - 18 11月 2009
事件2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009 - Taichung, Taiwan
持續時間: 22 6月 200924 6月 2009

出版系列

名字Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009

Conference

Conference2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009
國家/地區Taiwan
城市Taichung
期間22/06/0924/06/09

指紋

深入研究「Automated sleep staging using single EEG channel for REM sleep deprivation」主題。共同形成了獨特的指紋。

引用此