Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder via Transfer Learning with Single Channel Sleep Stage Data*
Ellis C, Sattiraju A, Miller R, Calhoun V. Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder via Transfer Learning with Single Channel Sleep Stage Data*. 2023, 00: 2466-2473. DOI: 10.1109/bibm58861.2023.10385424.Peer-Reviewed Original ResearchDeep learning methodsLearning methodsTransfer learningEEG datasetManually engineered featuresTransfer learning approachDeep learning modelsDeep learning performanceMachine learning methodsClassification datasetsLearned representationsElectroencephalography classifierDeep learningEEG classificationResting-state electroencephalographyDiagnosis of major depressive disorderRaw electroencephalographyLearning approachLearning modelsMajor depressive disorder diagnosisMajor depressive disorderLearning performanceClassifierDatasetEngineering featuresImproving Explainability for Single-Channel EEG Deep Learning Classifiers via Interpretable Filters and Activation Analysis*
Ellis C, Miller R, Calhoun V. Improving Explainability for Single-Channel EEG Deep Learning Classifiers via Interpretable Filters and Activation Analysis*. 2023, 00: 2474-2481. DOI: 10.1109/bibm58861.2023.10385647.Peer-Reviewed Original ResearchDeep learning methodsLearning methodsContext of automated sleep stage classificationDeep learning classifierSleep stage classificationAutomated feature extractionMachine learning methodsImprove explainabilityLearned featuresFeature extractionExplainability methodsAwake samplesLearning classifiersRaw electroencephalographyIncrease model performanceLayer filtersExplainabilityModeling activitiesModel performanceFilterStage classificationClassifierFiltering activityElectroencephalographyFrequency filtering