| Titre : | Neuro VR: Exploring Brain Dynamics in Phobia Response Using Virtual Reality |
| Auteurs : | Mohamed el amine BANCHOURI, Auteur ; Ouail MESSAOUDANE, Auteur ; Naima Bahi, Auteur |
| Editeur : | Biskra [Algérie] : Faculté des Sciences Exactes et des Sciences de la Nature et de la Vie, Université Mohamed Khider, 2024 |
| Format : | 1 vol. (94 p.) / ill., couv. ill. en coul / 30 cm |
| Langues: | Anglais |
| Résumé : |
Anxiety disordersarethemostprevalentmentalhealthconditionsglobally,withphobias affecting15-20%ofthepopulation.Claustrophobia,thefearofconfinedspaces,isaspecific phobia thatcanseverelylimitanindividual’squalityoflife.Traditionaltreatments,suchasCognitiveBehavioralTherapy(CBT)andpharmacotherapy,offersomereliefbutcomewith limitations, includingaccessibility,highcosts,andpatientdiscomfortwithinvivoexposure. Additionally,pharmacotherapyoftenonlyaddressessymptomstemporarilywithoutresolving theunderlyingfearresponse.ThisthesisproposesaninnovativeapproachtoclaustrophobiatreatmentbyintegratingVir-tual Reality(VR)exposuretherapywithreal-timeEEGmonitoringandadvancedmachine learning techniques.AhybridmodelcombiningaconditionalGenerativeAdversarialNetwork (cGAN) andaVariationalAutoencoder(VAE)isemployedtocreatepersonalizedandadaptive VR environments.ThesystemcontinuouslymonitorsEEGsignalstoassessthepatient’smental state, allowingtheVRscenariostoadaptdynamicallyinresponsetotheindividual’sfearlevels. The hybridcGAN-VAEframeworknotonlysimulatesclaustrophobia-relatedneuralre- sponses butalsotailorsexposuretherapytosuiteachpatient’sneeds.Preliminaryresults demonstrate thesystem’sabilitytogenerateaccurateEEGdatapatternsandpredictappropriate VR scenarios,highlightingitspotentialtorevolutionizephobiatreatmentbymakingitmore accessible,personalized,andeffective.Thisresearchcontributestothefieldofanxietydisordertreatmentbycombiningcutting-edge VRtechnology,EEGdataanalysis,andmachinelearningmodels,offeringapromising alternativefortreatingclaustrophobiaandotheranxietydisordersinacontrolledandsupportive environment. |
| Sommaire : |
Abstract iii Resume iv List ofFiguresviii List ofTables1 Introduction2 1 Virtualrealityexposuretherapy4 1.1 Overview..................................... 4 1.2 ThePsychologicalSection............................ 5 1.2.1 AnxietyDisorders............................ 5 1.2.2 Phobias.................................. 5 1.2.3 SpecificPhobias............................. 6 1.2.4 Posttraumaticstressdisorder....................... 7 1.3 ExposureTherapy................................. 8 1.3.1 Invivoexposure............................. 8 1.3.2 Imaginalexposure(Invitro)....................... 8 1.3.3 Eyemovementdesensitizationandreprocessing(EMDR)........ 8 1.3.4 Flooding................................. 9 1.3.5 Virtualrealityexposure.......................... 9 1.4 Human-ComputerInteraction........................... 9 1.5 VirtualReality................................... 10 1.5.1 VirtualRealityVSTraditionalMedia.................. 10 1.5.2 FundamentalConceptsinVirtualReality................ 10 1.5.3 ImmersioninVirtualReality....................... 11 1.5.4 CharacteristicsofimmersiveVirtualReality............... 13 1.6 VirtualRealityExposureTherapy........................ 14 1.7 RelatedWorks................................... 15 1.7.1 Electroencephalographycorrelatesoffearofheightsinavirtualreality environment............................... 15 1.7.2 SpectralAnalysisoftheEEGofSubjectswithAnxious-PhobicDisor- ders inaVirtualRealityEnvironment.................. 16 1.7.3 Electrophysiologicalcorrelatesofinvivoandvirtualrealityexposure therapyinspiderphobia......................... 16 1.7.4 AnalyzingEEGpatternsinyoungadultsexposedtodifferentacropho- bia levels:aVRstudy.......................... 17 2 Brain-ComputerInterface18 2.1 Introduction.................................... 18 2.2 TheoreticalBackground.............................. 18 2.2.1 DefinitionofBrain-ComputerInterface................. 18 2.2.2 NeurophysiologicalBasisofBCI.................... 20 2.2.3 HybridBCIs............................... 29 2.3 Technicalbackground............................... 30 2.3.1 BrainSignalAcquisition......................... 31 2.3.2 Preprocessing............................... 33 2.3.3 FeatureExtraction............................ 33 2.3.4 Classification............................... 37 2.4 Conclusion.................................... 37 3 DesignandContribution38 3.1 Introduction.................................... 38 3.2 GeneralDesign.................................. 38 3.3 DetailedDesign.................................. 40 3.3.1 TheWorkflowofInputandVisualizationinaSeriousGameusingVR Headset .................................. 40 3.3.2 Dataacquisitionandprocessing..................... 40 3.3.3 Filtering.................................. 41 3.3.4 FeatureExtraction............................ 41 3.4 TherapyGenerationUnit............................. 42 3.4.1 OverviewofConditionalGenerativeAdversarialNetworks(cGAN).. 42 3.4.2 AcGAN-BasedApproachforClaustrophobiaTherapyinVirtualReality 43 3.4.3 TherapeuticImpactoftheArchitecture................. 46 3.4.4 LossFunctions.............................. 46 3.4.5 MaximumMeanDiscrepancy...................... 47 3.5 cGAN-VAEArchitecture............................. 51 3.5.1 OverviewoftheConditionalVariationalAutoencoder(cVAE)..... 51 3.5.2 IntegrationwithConditionalGAN(cGAN)............... 54 3.5.3 TrainingProcedure............................ 55 3.5.4 Evaluation................................ 56 3.6 ModelHyperparameters............................. 56 3.7 Conclu4 Experimentalimplementationandresults60 4.1 Introduction.................................... 60 4.2 DevelopmentTools................................ 60 4.2.1 PsyTechVR............................... 60 4.2.2 EEGHeadset............................... 61 4.2.3 EEGElectrodesGel........................... 62 4.2.4 TrainingHardware............................ 62 4.2.5 LanguagesandFrameWorks....................... 62 4.3 EEGDataPreprocessingandFeatureExtraction................. 66 4.3.1 EEGDatasetCollectionandExperimentalSetup............ 66 4.3.2 DataAggregationandConcatenation.................. 67 4.3.3 LabelEncodingandElectrodePositionMapping............ 67 4.3.4 FeatureExtractionTechniques...................... 67 4.3.5 FinalDataPreparationandCleaning................... 68 4.4 FilteringandAnalyzingthecomponents..................... 69 4.4.1 Filtering.................................. 69 4.4.2 PowerSpectralDensity(PSD)Analysis................. 69 4.4.3 IndependentComponentAnalysis(ICA)................. 73 4.4.4 Interpretation............................... 76 4.5 ReconstructionResults.............................. 77 4.5.1 ReconstructionofRawEEGData.................... 77 4.5.2 ReconstructionofNonlinearFeatures.................. 79 4.5.3 ComparativeAnalysisandImplications................. 81 4.6 ReconstructionResultsforMotorChannels................... 81 4.6.1 ReconstructionofRawEEGDataforMotorChannels......... 81 4.6.2 ReconstructionofNonlinearFeaturesforMotorChannels....... 82 4.6.3 ImplicationsforAnomalyDetectioninMotorChannels........ 83 4.7 PredictionEvaluation:AccuracyandError.................... 84 4.7.1 EvaluationMetrics............................ 84 4.7.2 Per-ClassPerformance.......................... 85 4.7.3 MetricInterpretations........................... 85 4.8 ModelEvaluation:Multi-MetricAnalysis.................... 86 4.8.1 ConfusionMatrixAnalysis........................ 86 4.8.2 CalibrationCurves............................ 87 4.8.3 Per-ClassPrecision,Recall,andF1-Score................ 88 4.8.4 MicroandMacro-AverageAUC..................... 88 4.8.5 Precision-RecallCurves......................... 89 4.8.6 Class-SpecificROCCurves....................... 89 4.8.7 InterpretationandModelInsights.................... 90sion.................................... 59 4.9 InterpretationoftheModel’sPerformance.................... 90 4.10 Conclusion.................................... 91 Conclusion 92 References94 Pageviii |
| Type de document : | Mémoire master |
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| Cote | Support | Localisation | Statut |
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| MINF/919 | Mémoire master | bibliothèque sciences exactes | Consultable |
