Evaluating Variability of Frequency Features of EEG Signals During Mental Fatigue
Publish place: 17th Iranian Conference on Biomedical Engineering
Publish Year: 1389
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICBME17_140
تاریخ نمایه سازی: 9 تیر 1392
Abstract:
The brain regions involved in variation of mind activity from attention to mental fatigue are considered to reducethe 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.
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Authors
Mahdieh Azamoosh
Biomedical Engineering Department, Islamic Azad University, Mashhad Branch Mashhad, Iran
Mohammad Reza Mohammadi
Psychiatry and Psychology Research Centre (PPRC), Roozbeh Hospital, Tehran University of Medical ScienceTehran, Iran
Alireza Motie Nasrabadi
Biomedical Engineering Department, Islamic Azad University, Mashhad Branch Mashhad, Iran
Seyyed Mohammad P.firoozabadi
Medical Physics Department, Tarbiat Modares University Tehran, Iran