DocumentCode
636044
Title
The influence of acute stress on brain dynamics
Author
Chin-Teng Lin ; Yu-Kai Wang ; Jhe-Wei Fan ; Shi-An Chen
Author_Institution
Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear
2013
fDate
16-19 April 2013
Firstpage
6
Lastpage
10
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.
Keywords
brain-computer interfaces; electroencephalography; fuzzy neural nets; learning (artificial intelligence); medical signal processing; neurophysiology; BCI; EEG results; acute stress; alpha bands; behavioral evidence; brain dynamics; brain-computer interface systems; electroencephalography; feedback information; frontal midline cortex; machine-learning methods; neurofuzzy systems; physiological evidence; stressful circumstances; task-switching paradigm; theta bands; Accuracy; Educational institutions; Electroencephalography; Heart rate; Stress; Switches; Time factors; Brain-Computer Interface (BCI); EEG; Neuro-Fuzzy System; Stress; Task Switching;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2013 IEEE Symposium on
Conference_Location
Singapore
Type
conf
DOI
10.1109/CCMB.2013.6609158
Filename
6609158
Link To Document