Measurement of Vigilance Using EEG Source Localization

A Master of Science thesis in Electrical Engineering by Salma Khaled Mohamad Zeid entitled, "Measurement of Vigilance Using EEG Source Localization," submitted in November 2017. Thesis advisor is Dr. Hasan Al-Nashash and thesis co-advisor is Dr. Hasan Mir. Soft and hard copy available.

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Zeid, Salma Khaled Mohamad (author)
التنسيق: doctoralThesis
منشور في: 2017
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/11073/9148
الوسوم: إضافة وسم
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_version_ 1864513438847336448
author Zeid, Salma Khaled Mohamad
author_facet Zeid, Salma Khaled Mohamad
author_role author
dc.contributor.none.fl_str_mv Al Nashash, Hasan
Mir, Hasan
dc.creator.none.fl_str_mv Zeid, Salma Khaled Mohamad
dc.date.none.fl_str_mv 2017-12-28T08:08:20Z
2017-12-28T08:08:20Z
2017-11
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2017.36
http://hdl.handle.net/11073/9148
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Vigilance decrement
electroencephalogram
brainwaves
power spectral density
source localization
Vigilance (Psychology)
Measurement
Electroencephalography
dc.title.none.fl_str_mv Measurement of Vigilance Using EEG Source Localization
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Electrical Engineering by Salma Khaled Mohamad Zeid entitled, "Measurement of Vigilance Using EEG Source Localization," submitted in November 2017. Thesis advisor is Dr. Hasan Al-Nashash and thesis co-advisor is Dr. Hasan Mir. Soft and hard copy available.
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oai_identifier_str oai:repository.aus.edu:11073/9148
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spelling Measurement of Vigilance Using EEG Source LocalizationZeid, Salma Khaled MohamadVigilance decrementelectroencephalogrambrainwavespower spectral densitysource localizationVigilance (Psychology)MeasurementElectroencephalographyA Master of Science thesis in Electrical Engineering by Salma Khaled Mohamad Zeid entitled, "Measurement of Vigilance Using EEG Source Localization," submitted in November 2017. Thesis advisor is Dr. Hasan Al-Nashash and thesis co-advisor is Dr. Hasan Mir. Soft and hard copy available.Vigilance, or sustained attention, is crucial for jobs where attentiveness for prolonged times is required. These jobs include air traffic control, luggage inspection, and surveillance jobs. Vigilance decrement can cause catastrophic consequences. Therefore, vigilance level assessment is a widely-researched topic. Several methods have been used to assess vigilance levels such as eye tracking techniques which include monitoring saccadic eye movements and pupil size variation. Other methods used are heart rate variability, and physiological data such as electrocardiogram (ECG), electro-oculogram (EoG) and electroencephalogram (EEG). EEG data has been found to have strong correlations with human's vigilance level. This thesis report presents a novel method for the assessment of vigilance decrement using EEG data that embarks upon the brain's temporal behavior. An experiment based on a 20 to 30-minute Psychomotor Vigilance Task (PVT), that simulates real applications where vigilance decrement is observed, was carried out on 33 subjects and their EEG recordings and reaction times were collected. In the PVT task, subjects were required to respond to target events while refraining from non-target events. Vigilance reinforcement by challenge integration was tested where 22 out of the 33 subjects had an additional task where they had to respond to noisy target events. The spectral power density characteristics namely the delta, theta, alpha and beta waves of the EEG data are compared for low and high vigilance states. Furthermore, EEG source localization is utilized to monitor source dynamics of the brain in transition from vigilance states. Results from both methods are analyzed using Student's t-test with the significance threshold set at 0.1. Power spectral density analysis showed that power in AF8 electrode in delta, theta and alpha bands increased with vigilance decrement with p-values .023, .079 and .020 respectively. The source localization approach showed an increase in prefrontal source distribution with vigilance decrement with p-value of .015. The joint probability function of the prefrontal delta, theta and alpha bands as well as the source dynamics of prefrontal activity showed promise in constructing a vigilance assessment model to identify vigilance state from labeled data by yielding an 84.85% accurate detection.College of EngineeringDepartment of Electrical EngineeringMaster of Science in Electrical Engineering (MSEE)Al Nashash, HasanMir, Hasan2017-12-28T08:08:20Z2017-12-28T08:08:20Z2017-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2017.36http://hdl.handle.net/11073/9148en_USoai:repository.aus.edu:11073/91482025-06-26T12:09:38Z
spellingShingle Measurement of Vigilance Using EEG Source Localization
Zeid, Salma Khaled Mohamad
Vigilance decrement
electroencephalogram
brainwaves
power spectral density
source localization
Vigilance (Psychology)
Measurement
Electroencephalography
status_str publishedVersion
title Measurement of Vigilance Using EEG Source Localization
title_full Measurement of Vigilance Using EEG Source Localization
title_fullStr Measurement of Vigilance Using EEG Source Localization
title_full_unstemmed Measurement of Vigilance Using EEG Source Localization
title_short Measurement of Vigilance Using EEG Source Localization
title_sort Measurement of Vigilance Using EEG Source Localization
topic Vigilance decrement
electroencephalogram
brainwaves
power spectral density
source localization
Vigilance (Psychology)
Measurement
Electroencephalography
url http://hdl.handle.net/11073/9148