Zobrazeno 1 - 10
of 28
pro vyhledávání: '"L G, Turbina"'
Publikováno v:
Human Physiology. 48:667-679
Autor:
A. N. Kunitsyna, L. G. Turbina, R. R. Bogdanov, E. I. Evina, A. S. Litvinova, P. O. Ratmanova, D. A. Napalkov
Publikováno v:
Анналы клинической и экспериментальной неврологии, Vol 5, Iss 4, Pp 11-16 (2017)
To search for additional methods of differential diagnosis ofessential tremor (ET) and early-stage Parkinsons disease(PD), a clinical, psychometric, tremorometric, stabilometricand electrooculografic study was carried out in PD, ET andage-matched con
Externí odkaz:
https://doaj.org/article/05970d82ea3148bc9f2581042edb1b5c
Publikováno v:
Учёные записки Санкт-Петербургского государственного медицинского университета им. Акад. И.П. Павлова, Vol 23, Iss 3, Pp 28-31 (2016)
The results of biomechanical analysis of the motor function of the arm of poststroke patient in the process of neuroreha bilitation with exoskeleton of the hand controlled by brain – computer interface are presented in this paper. At the beginning
Externí odkaz:
https://doaj.org/article/3da29bfb73354b00a9811c6fa4ed53a8
Autor:
A. A. Frolov, E. V. Biryukova, P. D. Bobrov, M. E. Kurganskaya, O. G. Pavlova, A. A. Kondur, L. G. Turbina, S. V. Kotov
Publikováno v:
Alʹmanah Kliničeskoj Mediciny, Vol 44, Iss 3, Pp 280-286 (2016)
Background: Rehabilitation of patients with poststroke motor disorders with the use of a brain-computer interface (BCI)+exoskeleton may raise the rehabilitation to a new high-tech level and allow for an effective correction of the post-stroke dysfunc
Externí odkaz:
https://doaj.org/article/1957a8ee14434ef7b2b9ff3c5beec9b3
Autor:
S. V. Kotov, L. G. Turbina, P. D. Bobrov, A. A. Frolov, O. G. Pavlova, M. E. Kurganskaya, E. V. Biryukova
Publikováno v:
Alʹmanah Kliničeskoj Mediciny, Vol 0, Iss 39, Pp 15-21 (2016)
Background: Efficacy of physical exercise and movement imagination for restoration of motor dysfunction after a stroke is seen as proven. However, the use of movement imagination is complicated by impossibility of objective and subjective control ove
Externí odkaz:
https://doaj.org/article/9c6ab7ba3f6442dc9accc46ee1440487
Autor:
Anna Kondur, Kotov Sv, E. V. Zaitseva, E. V. Biryukova, L. G. Turbina, E. V. Isakova, Alexander A. Frolov, M. V. Romanova
Publikováno v:
Neuroscience and Behavioral Physiology. 50:1146-1154
The process of the functional rearrangement of the motor cortex of the brain after stroke is due to neuroplasticity, and this underlies motor recovery. Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) are currently recogn
Autor:
Anna Kondur, P. D. Bobrov, Alexander A. Frolov, E. V. Biryukova, Kotov Sv, L. G. Turbina, E. V. Zaytseva
Publikováno v:
Human Physiology. 46:321-331
A brain–computer interface (BCI) used to control a hand exoskeleton provides a tool for rehabilitation of the arm motor function (MF) after stroke and has proven efficacy and a potential to stimulate brain neuroplasticity. A study was made to analy
Publikováno v:
Neuroscience and Behavioral Physiology. 48:1088-1092
The aim of the present work was to study the effects of multiple courses of “BCI + hand exoskeleton” neurorehabilitation on the restoration of movements and resocialization of patients during the fi rst year after stroke. The study included seven
Autor:
Anna Kondur, E. V. Zaitseva, Kotov Sv, Alexander A. Frolov, L. G. Turbina, P. D. Bobrov, E. V. Biryukova
Publikováno v:
Human Physiology. 43:532-541
The rehabilitation potential of post-stroke patients was evaluated after a rehabilitation procedure using a hand exoskeleton controlled via a brain–computer interface (BCI). Examples are given for parameters describing the motor and cognitive funct
Autor:
L. G. Turbina, Pavlova Og, Alexander A. Frolov, P. D. Bobrov, Kotov Sv, M. E. Kurganskaya, E. V. Biryukova
Publikováno v:
Neuroscience and Behavioral Physiology. 46:518-522
Objective. To study the potential for use of a bioengineered system consisting of an electroencephalograph, a personal computer running a program for the synchronous data transmission, recognition, and classification of electroencephalogram (EEG) sig