Объекты, где автором является "Kershner I.A."

Статья

Kershner I.A., Obukhov Yu. V., Komoltsev I.G. Method of automated epileptiform seizures and sleep spindles detection in the wavelet spectrogram of rats' EEG. CEUR Workshop Proceedings , 2017 (1901). С. 104-109. ISSN 16130073

Kershner I.A., Obukhov Yu. V., Komoltsev I.G. Post-traumatic Epilepsy in rat’s: An algorithm for detection of suspicious EEG activity. 13th International Conference on Signal-Image Technology and Internet-Based Systems , 2017 . С. 163-167.

Доклад на конференции или семинаре

Kershner I.A., Obukhov Yu. V., Komoltsev I.G. Early posttraumatic period: finding events in background EEG in rats. In: Alzheimer's & Parkinson's Diseases Congress, 29 марта – 2 апреля 2017, Вена, Австрия , р. 277.

Kershner I.A., Obukhov Y.V., Komoltsev I.G. Finding events in background EEG in rats in early posttraumatic period. In: 15th Mexican International Conference on Artificial Intelligence (MICAI-2016), 23–29 октября 2016, Канкун, Мексика , Center for Computing Research of IPN , С. 37-42.

Obukhov K. Yu, Obukhov Yu. V., Maliuta I.A., Nikitov S. A., Sushkova O.S., Kershner I.A. Classification models application to quantitative diagnostics of early stage Parkinson’s disease. In: 11th German-Russian Conference on Biomedical Engineering (RGC 2015), 17–19 июнь 2015, Ахен, Германия , С. 127-130.

Obukhov Yu.V., Sushkova O.S., Obukhov K.Yu., Gabova A.V., Karabanov A.V., Kershner I.A. Electrophysiological diagnostics of the early stage Parkinson's disease. In: Инновационный форум “Пуцзян”, 22-28 октября 2014, Шанхай, Китай , р. 16.

Sushkova O.S., Gabova A.V., Karabanov A.V., Kershner I.A., Obukhov K.Y., Obukhov Y.V. Joint analysis of electroencephalogram, electromyogram, and tremor in the early stage of Parkinson’s disease. In: -th Open German-Russian Workshop on Pattern recognition and Image understanding (OGRW 2014), 1-5 декабря 2014, Кобленц, Германия , С. 140-143.

Obukhov Yu.V., Sushkova O.S., Obukhov K.Y., Gabova A.V., Karabanov A.V., Kershner I.A. A new approach for time-frequency features extraction of electrical brain activity: application to quantitative diagnostics of early stage Parkinson's disease. In: 9-th Open German-Russian Workshop on Pattern recognition and Image understanding (OGRW 2014), 1-5 декабря 2014, Кобленц, Германия , С. 1-4.