Journals
Books
Articles by keyword Brain-Computer interface
Neural network classifier designing for brain-computer interface
I. E. Shepelev, B. M. Vladimirskiy
Sources of brain activity relevant and not relevant for classifying of EEG patterns, corresponding to motor imagination
P. D. Bobrov, D. Husek, A. V. Korshakov, A. A. Frolov
Using symbol matrix in paradigm of brain-computer interface based on analysis of visual event related potential components
L. D. Bark, K. A. Saltykov, S. A. Kozhukhov, M. A. Kulikov
What is more materially uploading and downloading by means the interface - brain - computer - brain - or the artificial brain
G.I. Shul-gina
Technology for development of virtual reality systems based on brain-computer interface with utilization of cloud computing environment
A.A. Bezgodov, K.V. Knyazkov, S.V. Kovalchuk, A.V. Boukhanovsky
The method of the acceleration information transfer in the brain-computer interfaces (BCI) working which based on assessment rate symbol series
Ya. А. Turovky - Ph.D. (Med.), Associate Professor, Head of the Digital Medical Technologies Laboratory, Computer Science Faculty, Voronezh State University. E-mail: yaroslav_turovsk@mail.ru
S. D. Kurgalin - Dr.Sc. (Phys.-Math.), Head of the Digital Technologies Department, Computer Science Faculty, Voronezh State University. E-mail: kurgalin@bk.ru
Evaluation of speed for brain-computer interface im-plemented with a hybrid intellect
Ya.A. Turovskiy - Ph.D.(Med.), Associate Professor, Digital Technologies Department, Head of the Digital Medical Technologies Laboratory of Computer Science Faculty, Voronezh State University S.D.Kurgalin - Dr.Sc.(Phys.-Math.), Head of the Digital Technologies Department of Computer Science Faculty, Voronezh State University S.V.Borzunov - Ph.D.( Phys.-Math.), Associate Professor, Digital Technologies Department of Computer Science Faculty, Voronezh State University
Wireless EEG recorder for research, professional selection and eeg-based biofeedback
N.O. Brinсken - Ph.D. (Eng.), Incart Ltd., (St. Petersburg). E-mail: brinken@mail.ru A.А. Grushvitskiy - General Director, Alioth Medical Ltd. (St. Petersburg). E-mail: alex.mitsar@icloud.com V.A. Ponomarev - Ph.D. (Biol.), Leading Research Scientist, Institute of Human Brain of the Russian Academy of Sciences (St. Petersburg). E-mail: ponomarev@mail.ru
Multiple-stimulant to adapt EEG recorders to problems obtaining evoked potentials used in neurointerface
O.I. Antipov - Dr. Sc. (Phys.-Math.), Ph. D. (Eng.), Corresponding Member of RANH, Professor, Volga State University of Telecommunications and Informatics (Samara). E-mail: oleg1307@mail.ru A.V. Zakharov - Ph. D. (Med.), Assistant, Department of Neurology and Neurosurgery, Samara State Medical University. E-mail: Zakharov1977@mail.ru V.A. Machikhin - Programmer, Volga State University of Telecommunications and Informatics (Samara). E-mail: vmachihin@mail.ru V.F. Pyatin - Dr. Sc. (Med.), Professor, Head of Department of Normal Physiology, Samara State Medical University. E-mail: pyatin_vf@list.ru
Wireless EEG recorder for research, professional selection and EEG-based biofeedback
N.O. Brinсken - Ph.D. (Eng.), Incart Ltd., (St. Petersburg, Russia). E-mail: brinken@mail.ru A.А. Grushvitskiy - Alioth Medical Ltd., (St. Petersburg, Russia). E-mail: alex.mitsar@icloud.com V.A. Ponomarev - Ph.D. (Eng.), Institute of Human Brain of the Russian Academy of Sciences (St. Petersburg, Russia). E-mail:ponomarev@mail.ru
Information streams at formation of the additional channel of feedback for the brain-computer interface
Ya.A. Тurovsky - Ph.D. (Med.), Associate Professor, Head of Laboratory, Department of Medical Cybernetics Digital, Voronezh State University, Voronezh E-mail: yaroslav_turovsk@mail.ru S.D. Kurgalin - Dr.Sc. (Phys.-Math.), Professor, Head of Digital, Voronezh State University, Voronezh E-mail: kurgalin@bk.ru A.A. Vakhtin - Ph.D. (Phys.-Math.), Associate Professor, Senior Programmer, Medical Cybernetics Laboratory, Department of Digital Technology; Associate Professor, Department of Programming and Information Technologies, Voronezh State University, Voronezh E-mail: alvahtin@gmail.com S.V. Borzunov - Ph.D. (Phys.-Math.), Associate Professor, Digital Technology, Voronezh State University, Voronezh E-mail: sborzunov@gmail.com A.V. Alekseev - Master, Department of Digital Technology; Laboratory of Technician Medical Cybernetics, Voronezh State University, Voronezh
Deep learning for BCI application
F.V. Stankevich - Post-graduate Student, Tomsk Polytechnical University E-mail: stankevichfv@tpu.ru V.G. Spitsyn - Dr.Sc. (Eng.), Professor, Tomsk Polytechnical University E-mail: spvg@tpu.ru
Selection of P300 signal features based on machine learning and the Morlet wavelet use for BCI applications

N.Haddad1, M.V. Derkach2, A.N. Dmitriev3, I.K. Sergeev4, S.I. Shchukin5

1–5 Bauman Moscow State Technical University (Moscow, Russia)

Evaluation of speed for brain-computer interface implemented with a hybrid intellect

Ya.A. Turovskiy, S.D. Kurgalin, S.V. Borzunov