2020
A probabilistic approach for calibration time reduction in hybrid EEG–fTCD brain–computer interfaces
Khalaf A, Akcakaya M. A probabilistic approach for calibration time reduction in hybrid EEG–fTCD brain–computer interfaces. BioMedical Engineering OnLine 2020, 19: 23. PMID: 32299441, PMCID: PMC7164278, DOI: 10.1186/s12938-020-00765-4.Peer-Reviewed Original ResearchConceptsBrain-computer interfaceClass-conditional distributionsBCI usersSmall training datasetMI paradigmSupport vector machineCalibration time reductionHybrid brain-computer interfaceMotor imageryTraining dataBetter generalizationFeature vectorsVector machineTraining datasetUsersPrevious usersCalibration sessionSimilar datasetsBhattacharyya distanceGeneration paradigmDatasetCalibration requirementsEfficient performanceHybrid EEG–fTCD Brain–Computer Interfaces
Khalaf A, Sejdic E, Akcakaya M. Hybrid EEG–fTCD Brain–Computer Interfaces. Cognitive Science And Technology 2020, 295-314. DOI: 10.1007/978-3-030-34784-0_15.Peer-Reviewed Original ResearchFunctional transcranial Doppler ultrasoundBrain-computer interfaceWord generationBrain activityNoninvasive brain-computer interfaceHybrid brain-computer interfaceMental rotation taskDifferent brain activitiesElectrical brain activityCognitive tasksPresentation paradigmRotation taskVisual stimuliEEG recording deviceLimited speechNovel hybrid brain-computer interfaceNeuroimaging modalitiesPhysical abilityElectroencephalographyTaskComputer interfaceTask problemMI presentationHigh temporal resolutionSpeech
2018
A novel motor imagery hybrid brain computer interface using EEG and functional transcranial Doppler ultrasound
Khalaf A, Sejdic E, Akcakaya M. A novel motor imagery hybrid brain computer interface using EEG and functional transcranial Doppler ultrasound. Journal Of Neuroscience Methods 2018, 313: 44-53. PMID: 30590086, DOI: 10.1016/j.jneumeth.2018.11.017.Peer-Reviewed Original Research
2017
A brain-computer interface based on functional transcranial doppler ultrasound using wavelet transform and support vector machines
Khalaf A, Sybeldon M, Sejdic E, Akcakaya M. A brain-computer interface based on functional transcranial doppler ultrasound using wavelet transform and support vector machines. Journal Of Neuroscience Methods 2017, 293: 174-182. PMID: 29017899, DOI: 10.1016/j.jneumeth.2017.10.003.Peer-Reviewed Original ResearchMeSH KeywordsBlood Flow VelocityBrainBrain-Computer InterfacesCerebrovascular CirculationCognitionFeasibility StudiesFemaleFunctional NeuroimagingHumansImaginationLanguageLinear ModelsMaleNeuropsychological TestsRestRotationSpace PerceptionSupport Vector MachineUltrasonography, Doppler, TranscranialWavelet AnalysisYoung AdultConceptsFunctional transcranial DopplerWord generation taskCognitive tasksMental rotationGeneration taskFunctional transcranial Doppler ultrasoundReal-time BCIMental rotation taskWord generationRotation taskNeural activationBrain-computer interfaceFive-level wavelet decompositionFTCD signalsTaskAverage accuracyBCISignificant improvementVector machine