Issue 9/2018
Content (16 Articles)
Brain–Computer Interfaces: Neurophysiological Bases and Clinical Applications
A. A. Frolov, P. D. Bobrov
Methods and Approaches to Optimizing Control Using a Brain–Computer Interface System by Healthy Subjects and Patients with Motor Disorders
E. V. Bobrova, A. A. Frolov, V. V. Reshetnikova
Use of Robotic Devices in Post-Stroke Rehabilitation
A. A. Frolov, I. B. Kozlovskaya, E. V. Biryukova, P. D. Bobrov
A Motor Imagery-Based Brain–Computer Interface with Vibrotactile Stimuli
S. P. Liburkina, A. N. Vasilyev, L. V. Yakovlev, S. Yu. Gordleeva, A. Ya. Kaplan
Electrographic Properties of Movement-Related Potentials
D. M. Lazurenko, V. N. Kiroy, E. V. Aslanyan, I. E. Shepelev, O. M. Bakhtin, N. R. Minyaeva
Recovery Dynamics in Patients with Poststroke Motor Disorders after Multiple Courses of Neurorehabilitation Using an Exoskeleton Controlled by a Brain–Computer Interface
S. V. Kotov, L. G. Turbina, A. A. Kondur, E. V. Zaytseva, E. V. Biryukova
Properties of EEG Responses to Emotionally Significant Stimuli Using a P300 Wave-Based Brain–Computer Interface
I. P. Ganin, E. A. Kosichenko, A. Ya. Kaplan
Use of a BCI-Exoskeleton Simulator with Multichannel Biofeedback in a Multidisciplinary Rehabilitation Program in Poststroke Patients
G. E. Ivanova, Yu. V. Bushkova, A. Yu. Suvorov, L. V. Stahovskaya, I. Z. Dzhalagoniya, N. A. Varako, M. S. Kovyazina, F. A. Bushkov
Dynamics of the Cortical Motor Representation of the Extensor Digitorum Communis Muscle after Motor Imagery Training Using a Brain–Computer Interface: a Controlled Study
A. G. Poydasheva, G. A. Aziatskaya, A. Yu. Chernyavskiy, R. X. Lyukmanov, O. A. Mokienko, L. A. Chernikova, N. A. Suponeva, A. A. Frolov, M. A. Piradov
Effects of Emotional Stability on Success in Learning to Control a Brain–Computer Interface
E. V. Bobrova, V. V. Reshetnikova, K. V. Volkova, A. A. Frolov
A Model Device for Real-Time Monitoring of Cognitive Activity in Humans (the “Cognovisor”)
I. V. Tarotin, M. S. Atanov, G. A. Ivanitsky
The Brain–Computer Interface: Experience of Construction, Use, and Potential Routes to Improving Performance
K. V. Volkova, N. I. Dagaev, A. S. Kiselev, V. R. Kasumov, M. V. Aleksandrov, A. E. Osadchiy
A Comparison of Classifiers in a Task Consisting of Classifying Single Visual Event-Related Cortical Potentials in Humans
S. N. Agapov, V. A. Bulanov, A. V. Zakharov, M. S. Sergeeva
A Novel Neural Network Approach to Creating a Brain–Computer Interface Based on the EEG Patterns of Voluntary Muscle Movements
I. E. Shepelev, D. M. Lazurenko, V. N. Kiroy, E. V. Aslanyan, O. M. Bakhtin, N. R. Minyaeva
Comparison of Results Obtained Using Brain–Computer Interface Classifiers in a Motor Imagery Recognition Task
V. V. Oganesyan, S. N. Agapov, V. A. Bulanov, E. V. Biryukova