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dc.contributor.authorLin, Chin-Tengen_US
dc.contributor.authorWang, Yu-Kaien_US
dc.contributor.authorFan, Jhe-Weien_US
dc.contributor.authorChen, Shi-Anen_US
dc.date.accessioned2014-12-08T15:35:40Z-
dc.date.available2014-12-08T15:35:40Z-
dc.date.issued2013en_US
dc.identifier.isbn978-1-4673-5871-2en_US
dc.identifier.urihttp://hdl.handle.net/11536/24086-
dc.description.abstractLiving 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.isoen_USen_US
dc.subjectEEGen_US
dc.subjectTask Switchingen_US
dc.subjectStressen_US
dc.subjectNeuro-Fuzzy Systemen_US
dc.subjectBrain-Computer Interface (BCI)en_US
dc.titleThe Influence of Acute Stress on Brain Dynamicsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2013 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE, COGNITIVE ALGORITHMS, MIND, AND BRAIN (CCMB)en_US
dc.citation.spage6en_US
dc.citation.epage10en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000335266900002-
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