DocumentCode
2394398
Title
Evaluating variability of frequency features of EEG signals during mental fatigue
Author
Azarnoosh, Mahdi ; Mohammadi, Mohammad Reza ; Nasrabadi, Ali Motie ; Firoozabadi, Seyyed Mohammad P
Author_Institution
Biomed. Eng. Dept., Islamic Azad Univ., Mashhad, Iran
fYear
2010
fDate
3-4 Nov. 2010
Firstpage
1
Lastpage
4
Abstract
The brain regions involved in variation of mind activity from attention to mental fatigue are considered to reduce the number of recording EEG channels for detecting brain activities. In this study, subjects performed a visual attentive task for about 45 minutes without rest and during task, EEG signals, subjective levels of fatigue and performance measures were recorded. Frequency features of EEG signals extracted by using spectrogram and discrete wavelet were transformed to distinguish different levels of mental fatigue and they were used to determine effective channels that represent fatigue in subjects.
Keywords
electroencephalography; medical signal processing; EEG signal; brain region; frequency feature variability; mental fatigue; Biomedical monitoring; Discrete wavelet transforms; Electroencephalography; Monitoring; EEG; effective channels; mental fatigue; spectrogram; wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering (ICBME), 2010 17th Iranian Conference of
Conference_Location
Isfahan
Print_ISBN
978-1-4244-7483-7
Type
conf
DOI
10.1109/ICBME.2010.5704977
Filename
5704977
Link To Document