2016
Performance predictors of brain–computer interfaces in patients with amyotrophic lateral sclerosis
Geronimo A, Simmons Z, Schiff S. Performance predictors of brain–computer interfaces in patients with amyotrophic lateral sclerosis. Journal Of Neural Engineering 2016, 13: 026002. PMID: 26824590, DOI: 10.1088/1741-2560/13/2/026002.Peer-Reviewed Original Research
2011
A square root ensemble Kalman filter application to a motor-imagery brain-computer interface
Kamrunnahar M, Schiff S. A square root ensemble Kalman filter application to a motor-imagery brain-computer interface. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2011, 2011: 6385-6388. PMID: 22255799, PMCID: PMC5699860, DOI: 10.1109/iembs.2011.6091576.Peer-Reviewed Original Research
2010
Feature selection on movement imagery discrimination and attention detection
Dias N, Kamrunnahar M, Mendes P, Schiff S, Correia J. Feature selection on movement imagery discrimination and attention detection. Medical & Biological Engineering & Computing 2010, 48: 331-341. PMID: 20112135, PMCID: PMC2946110, DOI: 10.1007/s11517-010-0578-1.Peer-Reviewed Original Research
2009
Optimization of Electrode Channels in Brain Computer Interfaces
Kamrunnahar M, Dias N, Schiff S. Optimization of Electrode Channels in Brain Computer Interfaces. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2009, 2009: 6477-6480. PMID: 19964437, PMCID: PMC2859435, DOI: 10.1109/iembs.2009.5333585.Peer-Reviewed Original ResearchConceptsBrain-computer interfaceFeature classificationMotor imagery tasksComputer interfaceBCI applicationsLinear discriminant analysisFeature selection algorithmFeature selection techniquesStepwise feature selectionFeature selectionSelection algorithmSelection techniquesImagery tasksOptimization approachOptimal numberTaskDiscrimination errorsHuman scalp electroencephalographyChannel combinationsElectrode channelsClassificationOptimum numberReliable selection