2019
Transfer Learning for a Multimodal Hybrid EEG-fTCD Brain–Computer Interface
Dagois E, Khalaf A, Sejdic E, Akcakaya M. Transfer Learning for a Multimodal Hybrid EEG-fTCD Brain–Computer Interface. IEEE Sensors Letters 2019, 3: 1-4. DOI: 10.1109/lsens.2018.2879466.Peer-Reviewed Original ResearchFunctional transcranial Doppler ultrasoundTransfer learningClass-conditional distributionsQuadratic discriminant analysisLinear discriminant analysisCalibration sessionHybrid BCIConditional probabilistic distributionsBetter classification performanceElectrical brain activityBrain-computer interface (BCI) researchMotor imagery tasksTraining dataDifferent classifiersClassification performanceProbabilistic similarityVector machineImagery tasksComputer interfaceBrain activityControl accessDimensionality reductionFinal classificationBCI systemSpecific tasks
2018
Towards optimal visual presentation design for hybrid EEG—fTCD brain–computer interfaces
Khalaf A, Sejdic E, Akcakaya M. Towards optimal visual presentation design for hybrid EEG—fTCD brain–computer interfaces. Journal Of Neural Engineering 2018, 15: 056019. PMID: 30021931, DOI: 10.1088/1741-2552/aad46f.Peer-Reviewed Original ResearchConceptsFunctional transcranial Doppler ultrasoundMental rotationTerms of accuracyTransfer rateFTCD signalsHybrid systemDesign approachReal-time BCIVisual presentationFeasible candidateMotor imageryInterface systemHigh accuracyVisual stimulation techniqueElectrical brain activityBrain-computer interface (BCI) systemsHybrid BCIHybrid combinationCognitive tasksPower spectrumSuch promising resultsHybrid brain-computer interface (BCI) systemFixation crossAccuracyDesign