完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Lin, Chin-Teng | en_US |
dc.contributor.author | Wang, Yu-Kai | en_US |
dc.contributor.author | Fan, Jhe-Wei | en_US |
dc.contributor.author | Chen, Shi-An | en_US |
dc.date.accessioned | 2014-12-08T15:35:40Z | - |
dc.date.available | 2014-12-08T15:35:40Z | - |
dc.date.issued | 2013 | en_US |
dc.identifier.isbn | 978-1-4673-5871-2 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/24086 | - |
dc.description.abstract | Living under high stress may be unhealthy. This study explores electroencephalography (EEG) correlated with stressful circumstances by using the task-switching paradigm with feedback information. According to the behavioral and physiological evidence, acute stress created by this paradigm affected the performance of participants. Under stress, the participants responded quickly and inaccurately. The EEG results correlated with acute stress were found in the frontal midline cortex, especially on the theta and alpha bands. These specific factors are considered importance features for detecting the influence of stress by applying various machine-learning methods and neuro-fuzzy systems. This comprehensive study can provide knowledge for studying stress and designing Brain-Computer Interface (BCI) systems in the future. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | EEG | en_US |
dc.subject | Task Switching | en_US |
dc.subject | Stress | en_US |
dc.subject | Neuro-Fuzzy System | en_US |
dc.subject | Brain-Computer Interface (BCI) | en_US |
dc.title | The Influence of Acute Stress on Brain Dynamics | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2013 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE, COGNITIVE ALGORITHMS, MIND, AND BRAIN (CCMB) | en_US |
dc.citation.spage | 6 | en_US |
dc.citation.epage | 10 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000335266900002 | - |
顯示於類別: | 會議論文 |