Evaluating Variability of Frequency Features of EEG Signals During Mental Fatigue

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.

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