 | На уровень вверх |
Obukhov K.Y., Maluta I.A., Obukhov Yu.V., Sushkova O.S. Classification Models of Early Stage Parkinson’s Disease Based on Electroencephalography Feature Space. The 8th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC-17) , 2017 . С. 184-186.
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.
Sushkova O.S., Korolev M.S., Morozov A.A., Obukhov K.Y., Obukhov Y.V. Joint analysis of time-frequency characteristics of the signals of the electroencephalography electromyography and mechanical tremor of Parkinson’s disease in the early stages. In: 11th International Conference on Pattern Recognition and Image Analysis: New Information Technologies (PRIA-11-2013), 23-28 сентябрь 2013, Самара, Россия , С. 742-745.
