2022
A machine‐learning approach for predicting impaired consciousness in absence epilepsy
Springer M, Khalaf A, Vincent P, Ryu JH, Abukhadra Y, Beniczky S, Glauser T, Krestel H, Blumenfeld H. A machine‐learning approach for predicting impaired consciousness in absence epilepsy. Annals Of Clinical And Translational Neurology 2022, 9: 1538-1550. PMID: 36114696, PMCID: PMC9539371, DOI: 10.1002/acn3.51647.Peer-Reviewed Original Research
2019
Realistic driving simulation during generalized epileptiform discharges to identify electroencephalographic features related to motor vehicle safety: Feasibility and pilot study
Cohen E, Antwi P, Banz BC, Vincent P, Saha R, Arencibia CA, Ryu JH, Atac E, Saleem N, Tomatsu S, Swift K, Hu C, Krestel H, Farooque P, Levy S, Wu J, Crowley M, Vaca FE, Blumenfeld H. Realistic driving simulation during generalized epileptiform discharges to identify electroencephalographic features related to motor vehicle safety: Feasibility and pilot study. Epilepsia 2019, 61: 19-28. PMID: 31646628, PMCID: PMC7424790, DOI: 10.1111/epi.16356.Peer-Reviewed Original ResearchConceptsEpileptiform dischargesGeneralized epileptiform dischargesEEG amplitudeClinical seizuresElectroencephalographic featuresGeneralized epilepsyLarger sample sizeDriving impairmentClinical accompanimentBaseline testingPilot studyMotor vehicle safetyLonger durationSimultaneous EEGSeizuresVisual stimuliEEGSubjectsStimuliRiskSafetyDurationSample sizeResponseEpilepsy