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 performance
2019
A Machine Learning Approach for Classifying Faults in Microgrids using Wavelet Decomposition
Khalaf A, Hassan H, Emes A, Akcakaya M, Grainger B. A Machine Learning Approach for Classifying Faults in Microgrids using Wavelet Decomposition. 2019, 00: 1-6. DOI: 10.1109/mlsp.2019.8918774.Peer-Reviewed Original ResearchLinear discriminant analysisWavelet decompositionNaïve Bayesian classifierFault typesClassification problemDifferent fault scenariosClassification performanceVector machineBayesian classifierWavelet coefficientsStatistical featuresFault identificationFault onsetMachineFault scenariosHigh performanceOverall accuracyExperimental resultsThree-phase voltageSignificant featuresMicrogrid architectureTransfer 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
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