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Advanced signal processing of EEG sub-band frequencies in characterizing psycho-physiological calmness / Siti Armiza Mohd Aris

Electroencephalographic signals or EEG signals are very closely related to psycho-physiological. At present, many types of diseases caused by the psycho-physiological have risen in the society. Early detection of psycho-physiological related problem such as stress, hypertension, depression and other...

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Main Author: Mohd Aris, Siti Armiza
Format: Book Section
Language:English
Published: Institute of Graduate Studies, UiTM 2016
Subjects:
Malaysia
Online Access:http://ir.uitm.edu.my/id/eprint/20110/1/ABS_SITI%20ARMIZA%20MOHD%20ARIS%20TDRA%20VOL%2010%20IGS%2016.pdf
http://ir.uitm.edu.my/id/eprint/20110/
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spelling my.uitm.ir.201102018-06-11T04:03:44Z http://ir.uitm.edu.my/id/eprint/20110/ Advanced signal processing of EEG sub-band frequencies in characterizing psycho-physiological calmness / Siti Armiza Mohd Aris Mohd Aris, Siti Armiza Malaysia Electroencephalographic signals or EEG signals are very closely related to psycho-physiological. At present, many types of diseases caused by the psycho-physiological have risen in the society. Early detection of psycho-physiological related problem such as stress, hypertension, depression and others has now become very important. This is due to the modern society lifestyle which contributes to major psycho-physiological problems. The existing practice to patients, who have been detected with psycho-physiological problem, used the assessment methods such as questionnaires and interviews which need expertise to handle the case and resulted in time consuming. Thus, a quick, reliable and simple method to determine the level of psycho-physiological condition is necessary during the treatments which can abridge the time needed to diagnose individuals. This study aim is to demonstrate some mental characteristics related to calmness can be grouped and categorized, hence produced EEG calmness index. To materialize this, asymmetry index was chosen as EEG feature in distinguishing unique characteristics of EEG signals from different brain behaviours named as relaxed state and nonrelaxed state. The EEG signals were pre-processed through Fast Fourier Transform and were segmented before the energy spectral density (ESD) was derived. The asymmetry index was calculated using the derived ESD… Institute of Graduate Studies, UiTM 2016 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/20110/1/ABS_SITI%20ARMIZA%20MOHD%20ARIS%20TDRA%20VOL%2010%20IGS%2016.pdf Mohd Aris, Siti Armiza (2016) Advanced signal processing of EEG sub-band frequencies in characterizing psycho-physiological calmness / Siti Armiza Mohd Aris. In: The Doctoral Research Abstracts. IGS Biannual Publication, 10 (10). Institute of Graduate Studies, UiTM, Shah Alam.
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
topic Malaysia
spellingShingle Malaysia
Mohd Aris, Siti Armiza
Advanced signal processing of EEG sub-band frequencies in characterizing psycho-physiological calmness / Siti Armiza Mohd Aris
description Electroencephalographic signals or EEG signals are very closely related to psycho-physiological. At present, many types of diseases caused by the psycho-physiological have risen in the society. Early detection of psycho-physiological related problem such as stress, hypertension, depression and others has now become very important. This is due to the modern society lifestyle which contributes to major psycho-physiological problems. The existing practice to patients, who have been detected with psycho-physiological problem, used the assessment methods such as questionnaires and interviews which need expertise to handle the case and resulted in time consuming. Thus, a quick, reliable and simple method to determine the level of psycho-physiological condition is necessary during the treatments which can abridge the time needed to diagnose individuals. This study aim is to demonstrate some mental characteristics related to calmness can be grouped and categorized, hence produced EEG calmness index. To materialize this, asymmetry index was chosen as EEG feature in distinguishing unique characteristics of EEG signals from different brain behaviours named as relaxed state and nonrelaxed state. The EEG signals were pre-processed through Fast Fourier Transform and were segmented before the energy spectral density (ESD) was derived. The asymmetry index was calculated using the derived ESD…
format Book Section
author Mohd Aris, Siti Armiza
author_facet Mohd Aris, Siti Armiza
author_sort Mohd Aris, Siti Armiza
title Advanced signal processing of EEG sub-band frequencies in characterizing psycho-physiological calmness / Siti Armiza Mohd Aris
title_short Advanced signal processing of EEG sub-band frequencies in characterizing psycho-physiological calmness / Siti Armiza Mohd Aris
title_full Advanced signal processing of EEG sub-band frequencies in characterizing psycho-physiological calmness / Siti Armiza Mohd Aris
title_fullStr Advanced signal processing of EEG sub-band frequencies in characterizing psycho-physiological calmness / Siti Armiza Mohd Aris
title_full_unstemmed Advanced signal processing of EEG sub-band frequencies in characterizing psycho-physiological calmness / Siti Armiza Mohd Aris
title_sort advanced signal processing of eeg sub-band frequencies in characterizing psycho-physiological calmness / siti armiza mohd aris
publisher Institute of Graduate Studies, UiTM
publishDate 2016
url http://ir.uitm.edu.my/id/eprint/20110/1/ABS_SITI%20ARMIZA%20MOHD%20ARIS%20TDRA%20VOL%2010%20IGS%2016.pdf
http://ir.uitm.edu.my/id/eprint/20110/
_version_ 1685649302955753472
score 13.211869

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