2023
Infection diagnosis in hydrocephalus CT images: a domain enriched attention learning approach
Yu M, Peterson M, Cherukuri V, Hehnly C, Mbabazi-Kabachelor E, Mulondo R, Kaaya B, Broach J, Schiff S, Monga V. Infection diagnosis in hydrocephalus CT images: a domain enriched attention learning approach. Journal Of Neural Engineering 2023, 20: 10.1088/1741-2552/acd9ee. PMID: 37253355, PMCID: PMC11099590, DOI: 10.1088/1741-2552/acd9ee.Peer-Reviewed Original Research
2008
Model-based Responses and Features in Brain Computer Interfaces
Kamrunnahar M, Dias N, Schiff S, Gluckman B. Model-based Responses and Features in Brain Computer Interfaces. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2008, 2008: 4482-4485. PMID: 19163711, DOI: 10.1109/iembs.2008.4650208.Peer-Reviewed Original ResearchConceptsBrain-computer interfaceMotor imagery tasksComputer interfaceClassification errorDifferent feature selection methodsLinear discriminant analysisFeature selection methodClassification of tasksDevelopment of BCIsImagery tasksFeature extractionHuman scalp electroencephalographySelection methodRight hand movementsTaskFilter algorithmEEG signalsNovel modelPrincipal component analysisControl systems theoryHand movementsScalp EEG correlatesFeaturesInterfaceAlgorithm
1994
Fast wavelet transformation of EEG
Schiff S, Aldroubi A, Unser M, Sato S. Fast wavelet transformation of EEG. Clinical Neurophysiology 1994, 91: 442-455. PMID: 7529683, DOI: 10.1016/0013-4694(94)90165-1.Peer-Reviewed Original ResearchConceptsFeature extractionWavelet transformOrdinary microprocessorsComputational demandsRedundant samplingComputational timeMultiresolution frameworkData window lengthReal timeWavelet transformationContinuous wavelet transformRapid algorithmWaveletsAnalysis of EEGExtractionWindow lengthBackground noiseTransformAlgorithmPolynomial splinesMicroprocessorFourier transform techniqueRecent workCertain advantagesNumerical techniques