2019
Common spatial pattern and wavelet decomposition for motor imagery EEG- fTCD brain-computer interface
Khalaf A, Sejdic E, Akcakaya M. Common spatial pattern and wavelet decomposition for motor imagery EEG- fTCD brain-computer interface. Journal Of Neuroscience Methods 2019, 320: 98-106. PMID: 30946880, DOI: 10.1016/j.jneumeth.2019.03.018.Peer-Reviewed Original Research
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 ResearchTowards 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
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
2015
Image Features of Spectral Correlation Function for Arrhythmia Classification
Khalaf A, Owis M, Yassine I. Image Features of Spectral Correlation Function for Arrhythmia Classification. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2015, 2015: 5199-5202. PMID: 26737463, DOI: 10.1109/embc.2015.7319563.Peer-Reviewed Original Research