 | На уровень вверх |
Morozov A.A., Sushkova O.S., Polupanov A.F. Object-oriented logic programming of 3D intelligent video surveillance: The problem statement. 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE), Edinburgh , 2017 . С. 1631-1636.
Sushkova O.S., Morozov A.A., Gabova A.V. A new method of EEG analysis and visualization based on wave trains in early stages of Parkinson's disease. Mechanisms, Clinical Strategies, and Promising Treatments of Neurodegenerative Diseases. , 2017 , 17 (1). р. 1572.
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.
Morozov A.A., Sushkova O.S., Vaniya S.M. Development of Methods and Algorithms Based on Object-Oriented Logic Programming for Video Monitoring of Laboratory Rodents. Signal-Image Technologies and Internet-Based System (SITIS-2017) , 2017 . С. 311-318.
Sushkova O.S., Morozov A.A., Gabova A.V. EEG Beta Wave Trains are not the Second Harmonic of Mu Wave Trains in Parkinson’s Disease patients. CEUR-WS.ORG , 2017 , 1901. С. 226-234. ISSN 1613-0073
Sushkova O.S., Morozov A.A., Gabova A.V. Investigation of Specificity of Parkinson’s Disease Features Obtained Using the Method of Cerebral Cortex Electrical Activity Analysis Based on Wave Trains. 13th International Conference on Signal-Image Technology and Internet-Based Systems , 2017 . С. 168-172.
Sushkova O.S., Morozov A.A., Gabova A.V. A method of analysis of EEG wave trains in early stages of Parkinson's disease. INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND SYSTEMS BIOLOGY 2016 , 2016 .
Sushkova O.S., Morozov A.A., Gabova A.V. Development of method of analysis of EEG wave packets in early stages of parkinson's disease. CEUR-WS.ORG , 2016 , 1638. С. 681-690. ISSN 1613-0073
Obukhov Yu. V., Gabova A. V., Zaljalovaa Z. A., Illarioshkin S. N., Karabanov A. V., Korolev M. S., Kuznetsova G. D., Morozov A.A., Nigmatullina R. R., Obukhov K.Yu, Sushkova O.S. Electroencephalograms features of the early stage Parkinson’s disease. Pattern Recognition and Image Analysis , 2014 , 24 (4). С. 593-604. ISSN 1555-6212
Morozov A.A., Sushkova O.S., Polupanov A.F. Towards the Distributed Logic Programming of Intelligent Visual Surveillance Applications. In: Advances in Soft Computing: 15th Mexican International Conference on Artificial Intelligence. Springer International Publishing, Cham: , 2017 , С. 42-53.
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.
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.
Obukhov Yu.V., Korolev M.S., Obukhov K.Yu., Sushkova O.S., Nigmatullina R.R., Zaljalova Z.A., Gabova A.V., Kuznetsova G.D., Ugrumov M.V. Time-frequency spontaneous eeg features of early stage Parkinson's disease. In: The 11th International Conference «PATTERN RECOGNITION and IMAGE ANALYSIS: NEW INFORMATION TECHNOLOGIES» (PRIA-11-2013), 23-28 сентябрь 2013, Самара, Россия , С. 60-63.
Sushkova O.S., Morozov A.A., Gabova A.V. Data mining in EEG wave trains in early stages of Parkinson's disease. Advances in Soft Computing: 15th Mexican International Conference on Artificial Intelligenc . Springer International Publishing, Cham , 2017 .
