Cover Image

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

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...

Full description

Saved in:
Bibliographic Details
Main Author: Abdul Hamid, Noor Hayatee
Format: Thesis
Language:English
Published: 2017
Online Access:https://ir.uitm.edu.my/id/eprint/86038/1/86038.pdf
https://ir.uitm.edu.my/id/eprint/86038/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.86038
record_format eprints
spelling my.uitm.ir.860382024-03-26T08:02:07Z https://ir.uitm.edu.my/id/eprint/86038/ Alpha and beta EEG sub-bands characterizations in differentiating human stress level using non-parametric technique / Noor Hayatee Abdul Hamid Abdul Hamid, Noor Hayatee 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. 2017 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/86038/1/86038.pdf Alpha and beta EEG sub-bands characterizations in differentiating human stress level using non-parametric technique / Noor Hayatee Abdul Hamid. (2017) Masters thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description 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.
format Thesis
author Abdul Hamid, Noor Hayatee
spellingShingle Abdul Hamid, Noor Hayatee
Alpha and beta EEG sub-bands characterizations in differentiating human stress level using non-parametric technique / Noor Hayatee Abdul Hamid
author_facet Abdul Hamid, Noor Hayatee
author_sort Abdul Hamid, Noor Hayatee
title Alpha and beta EEG sub-bands characterizations in differentiating human stress level using non-parametric technique / Noor Hayatee Abdul Hamid
title_short Alpha and beta EEG sub-bands characterizations in differentiating human stress level using non-parametric technique / Noor Hayatee Abdul Hamid
title_full Alpha and beta EEG sub-bands characterizations in differentiating human stress level using non-parametric technique / Noor Hayatee Abdul Hamid
title_fullStr Alpha and beta EEG sub-bands characterizations in differentiating human stress level using non-parametric technique / Noor Hayatee Abdul Hamid
title_full_unstemmed Alpha and beta EEG sub-bands characterizations in differentiating human stress level using non-parametric technique / Noor Hayatee Abdul Hamid
title_sort alpha and beta eeg sub-bands characterizations in differentiating human stress level using non-parametric technique / noor hayatee abdul hamid
publishDate 2017
url https://ir.uitm.edu.my/id/eprint/86038/1/86038.pdf
https://ir.uitm.edu.my/id/eprint/86038/
_version_ 1795017054654300160
score 13.211869

Similar Items