Offline LabVIEW-based EEG signals analysis for human stress monitoring

Stress is often known as a state of mental or emotional tension resulting from adverse or demanding circumstances. People nowadays are faced stress and different people will have different level of stress and it might be difficult to analyse. Hence, EEG technology is invented to assist people to det...

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Main Authors:	Norizam, Sulaiman, Beh, See Ying, Mahfuzah, Mustafa, M. S., Jadin
Format:	Conference or Workshop Item
Language:	English English
Published:	2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/22255/ http://umpir.ump.edu.my/id/eprint/22255/1/4.%20Offline%20LabVIEW-based%20EEG%20signals%20analysis%20for%20human%20stress%20monitoring.pdf http://umpir.ump.edu.my/id/eprint/22255/2/4.1%20Offline%20LabVIEW-based%20EEG%20signals%20analysis%20for%20human%20stress%20monitoring.pdf

id	ump-22255
recordtype	eprints
spelling	ump-222552018-12-10T04:08:25Z http://umpir.ump.edu.my/id/eprint/22255/ Offline LabVIEW-based EEG signals analysis for human stress monitoring Norizam, Sulaiman Beh, See Ying Mahfuzah, Mustafa M. S., Jadin TK Electrical engineering. Electronics Nuclear engineering Stress is often known as a state of mental or emotional tension resulting from adverse or demanding circumstances. People nowadays are faced stress and different people will have different level of stress and it might be difficult to analyse. Hence, EEG technology is invented to assist people to determine the level of stress by using brain signals. Thus, this paper describes the development of a LabVIEW-based system that can determine the level of stress based on the analysis of brain signals in LabVIEW. In this study, 1-channel EEG amplifier are employed to record EEG signals from five subjects at three different cognitive states which are closed eyes (do nothing), playing game and doing IQ test. The eegID application in mobile phone is used to capture recorded EEG signals from EEG amplifier and then the EEG signals are transfer to computer through Bluetooth for analysis which involves noise filtering, power spectrum conversion, features extraction and classification stage. The result shows that the average centroid which was applied on the EEG Power Spectrum of Alpha band is higher than Beta band when subject is at relax cognitive state meanwhile the average centroid of EEG Power Spectrum of Beta band is higher than Alpha band when subject is at stress cognitive state. Thus, it can be concluded that the subject are in the stress cognitive state when playing game and doing IQ test. At the end of this project, the LabVIEW Graphical User Interface (GUI) is created to display the level of stress for each subject after undergoing several mental exercises. Beside LabVIEW GUI, a device is constructed to display the level of stress in offline manner 2018 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22255/1/4.%20Offline%20LabVIEW-based%20EEG%20signals%20analysis%20for%20human%20stress%20monitoring.pdf pdf en http://umpir.ump.edu.my/id/eprint/22255/2/4.1%20Offline%20LabVIEW-based%20EEG%20signals%20analysis%20for%20human%20stress%20monitoring.pdf Norizam, Sulaiman and Beh, See Ying and Mahfuzah, Mustafa and M. S., Jadin (2018) Offline LabVIEW-based EEG signals analysis for human stress monitoring. In: 9th IEEE Control And System Graduate Research Colloquium (ICSGRC2018), 3 - 4 Aug 2018 , Shah Alam, Selangor. pp. 1-6.. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Norizam, Sulaiman Beh, See Ying Mahfuzah, Mustafa M. S., Jadin Offline LabVIEW-based EEG signals analysis for human stress monitoring
description	Stress is often known as a state of mental or emotional tension resulting from adverse or demanding circumstances. People nowadays are faced stress and different people will have different level of stress and it might be difficult to analyse. Hence, EEG technology is invented to assist people to determine the level of stress by using brain signals. Thus, this paper describes the development of a LabVIEW-based system that can determine the level of stress based on the analysis of brain signals in LabVIEW. In this study, 1-channel EEG amplifier are employed to record EEG signals from five subjects at three different cognitive states which are closed eyes (do nothing), playing game and doing IQ test. The eegID application in mobile phone is used to capture recorded EEG signals from EEG amplifier and then the EEG signals are transfer to computer through Bluetooth for analysis which involves noise filtering, power spectrum conversion, features extraction and classification stage. The result shows that the average centroid which was applied on the EEG Power Spectrum of Alpha band is higher than Beta band when subject is at relax cognitive state meanwhile the average centroid of EEG Power Spectrum of Beta band is higher than Alpha band when subject is at stress cognitive state. Thus, it can be concluded that the subject are in the stress cognitive state when playing game and doing IQ test. At the end of this project, the LabVIEW Graphical User Interface (GUI) is created to display the level of stress for each subject after undergoing several mental exercises. Beside LabVIEW GUI, a device is constructed to display the level of stress in offline manner
format	Conference or Workshop Item
author	Norizam, Sulaiman Beh, See Ying Mahfuzah, Mustafa M. S., Jadin
author_facet	Norizam, Sulaiman Beh, See Ying Mahfuzah, Mustafa M. S., Jadin
author_sort	Norizam, Sulaiman
title	Offline LabVIEW-based EEG signals analysis for human stress monitoring
title_short	Offline LabVIEW-based EEG signals analysis for human stress monitoring
title_full	Offline LabVIEW-based EEG signals analysis for human stress monitoring
title_fullStr	Offline LabVIEW-based EEG signals analysis for human stress monitoring
title_full_unstemmed	Offline LabVIEW-based EEG signals analysis for human stress monitoring
title_sort	offline labview-based eeg signals analysis for human stress monitoring
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/22255/ http://umpir.ump.edu.my/id/eprint/22255/1/4.%20Offline%20LabVIEW-based%20EEG%20signals%20analysis%20for%20human%20stress%20monitoring.pdf http://umpir.ump.edu.my/id/eprint/22255/2/4.1%20Offline%20LabVIEW-based%20EEG%20signals%20analysis%20for%20human%20stress%20monitoring.pdf
first_indexed	2023-09-18T22:33:02Z
last_indexed	2023-09-18T22:33:02Z
_version_	1777416412707422208

Offline LabVIEW-based EEG signals analysis for human stress monitoring

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