Alpha and beta EEG sub-bands characterizations in differentiating human stress level using non-parametric technique / Noor Hayatee Abdul Hamid

Abdul Hamid, Noor Hayatee (2017) Alpha and beta EEG sub-bands characterizations in differentiating human stress level using non-parametric technique / Noor Hayatee Abdul Hamid. Masters thesis, Universiti Teknologi MARA (UiTM).

Abstract

Electroencephalographic or EEG signals has become as one of the popular biotransducer in medical and psychological research area. The origin of EEG signals from human brain gives extra benefit in measuring emotions as the brainwaves react concurrently according to the emotions. Human stress level is subjective depending on how each person reacts to the stress situation. Today, many types of diseases caused by psychology and mental health have increased recently. Early detection on psychology and mental health problem such as depression has now become very important.

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Item Type: Thesis (Masters)
Creators:
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Email / ID Num.
Abdul Hamid, Noor Hayatee
UNSPECIFIED
Contributors:
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Thesis advisor
Taib, Mohd. Nasir
UNSPECIFIED
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Master of Science
Keywords: Electroencephalographic, biotransducer, psychological
Date: 2017
URI: https://ir.uitm.edu.my/id/eprint/86038
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