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
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
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 ResearchConceptsSpectral correlation functionCyclostationary signal analysisSignal analysisExperimental resultsSupport vector machine