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
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