LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress

A Master of Science thesis in Biomedical Engineering by Ismat Feras Ismat Almadani entitled, “LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress”, submitted in May 2024. Thesis advisor is Dr. Hasan Mir and thesis co-advisor is Dr. Hasan Al-Nashash. Soft copy is available (Th...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Almadani, Ismat Feras Ismat (author)
التنسيق: doctoralThesis
منشور في: 2024
الموضوعات:
الوصول للمادة أونلاين:https://hdl.handle.net/11073/25590
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author Almadani, Ismat Feras Ismat
author_facet Almadani, Ismat Feras Ismat
author_role author
dc.contributor.none.fl_str_mv Mir, Hasan
Al-Nashash, Hasan
dc.creator.none.fl_str_mv Almadani, Ismat Feras Ismat
dc.date.none.fl_str_mv 2024-09-17T06:56:20Z
2024-09-17T06:56:20Z
2024-05
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2024.04
https://hdl.handle.net/11073/25590
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Functional near-infrared spectroscopy (fNIRS)
Electroencephalography (EEG)
Linearly Constrained Minimum Variance (LCMV)
Brain Source Localization
Forward problem
Inverse problem
Cortisol concentration analysis
dc.title.none.fl_str_mv LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Biomedical Engineering by Ismat Feras Ismat Almadani entitled, “LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress”, submitted in May 2024. Thesis advisor is Dr. Hasan Mir and thesis co-advisor is Dr. Hasan Al-Nashash. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).
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spelling LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental StressAlmadani, Ismat Feras IsmatFunctional near-infrared spectroscopy (fNIRS)Electroencephalography (EEG)Linearly Constrained Minimum Variance (LCMV)Brain Source LocalizationForward problemInverse problemCortisol concentration analysisA Master of Science thesis in Biomedical Engineering by Ismat Feras Ismat Almadani entitled, “LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress”, submitted in May 2024. Thesis advisor is Dr. Hasan Mir and thesis co-advisor is Dr. Hasan Al-Nashash. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).Mental stress is a significant health concern, characterized by emotional and psychological pressure induced by challenging or threatening situations. Stress contributes to various psychophysiological disorders like depression, strokes, and cardiac issues. Current research employs electroencephalogram (EEG) signals for early-stage mental stress detection, exploiting the high temporal resolution of EEG. However, due to its poor spatial resolution, EEG cannot reveal the precise position of the brain activity's source. This necessitates the employment of signal processing methods to identify the brain region where the activity originated. The forward problem and the inverse problem that make up this localization problem must both be solved in order to determine the source's position. In this thesis, an experiment was conducted by the neuroengineering team at the American University of Sharjah that collected EEG and functional near infrared spectroscopy (fNIRS) data, along with participants' responses to a questionnaire and saliva samples to measure cortisol levels, from a cohort of 21 subjects. All participants were employed individuals with daily office work routines known to induce mental stress. The purpose of this study is to use the collected EEG data to localize the sources of the mental stress in the cortex of the brain and use the fNIRS data as a ground truth for the location of the source. To perform brain source localization using EEG signals, the Linearly Constrained Minimum Variance (LCMV) is used due to its advantages over other localization methods. This research seeks to advance the understanding of the neural nature of mental stress, contributing to the development of more effective stress management techniques. Results show that the LCMV-based approach successfully localized the sources of mental stress in the cortex of the brain, as validated by the fNIRS data. Also, the paired t-test applied on cortisol concentrations showed a significant difference in stress levels between the morning and evening phases. This advancement in understanding stress neurology offers potential for personalized interventions, enhancing mental health outcomes.College of EngineeringMultidisciplinary ProgramsMaster of Science in Biomedical Engineering (MSBME)Mir, HasanAl-Nashash, Hasan2024-09-17T06:56:20Z2024-09-17T06:56:20Z2024-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2024.04https://hdl.handle.net/11073/25590en_USoai:repository.aus.edu:11073/255902026-04-23T11:26:48Z
spellingShingle LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress
Almadani, Ismat Feras Ismat
Functional near-infrared spectroscopy (fNIRS)
Electroencephalography (EEG)
Linearly Constrained Minimum Variance (LCMV)
Brain Source Localization
Forward problem
Inverse problem
Cortisol concentration analysis
status_str publishedVersion
title LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress
title_full LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress
title_fullStr LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress
title_full_unstemmed LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress
title_short LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress
title_sort LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress
topic Functional near-infrared spectroscopy (fNIRS)
Electroencephalography (EEG)
Linearly Constrained Minimum Variance (LCMV)
Brain Source Localization
Forward problem
Inverse problem
Cortisol concentration analysis
url https://hdl.handle.net/11073/25590