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Effects of Selection of the Learning Set Formation Strategy and Filtration Method on the Effectiveness of a BCI Based on Near Infrared Spectrometry

Neuroscience and behavioral physiology, 2023-03, Vol.53 (3), p.373-380

2023

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Foundations and Characteristics of the Use of Motor Imagery and Brain–Computer Interfaces in Rehabilitation in Juvenile Cerebral Palsy

Neuroscience and behavioral physiology, 2022-09, Vol.52 (7), p.1052-1060

2022

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Measures of Neuroplastic and Functional Rearrangements during Recovery of Motor Function during Post-Stroke Rehabilitation

Neuroscience and behavioral physiology, 2023-11, Vol.53 (9), p.1521-1533

2023

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Neurorehabilitation with the Use of an Arm Exoskeleton Controlled via Brain–Computer Interface: Implemented Interdisciplinary Project

Human physiology, 2021, Vol.47 (7), p.709-715

2021

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Analysis of Cerebral and Muscle Activity during Control of a Corticospinal Neural Interface

Neuroscience and behavioral physiology, 2023-11, Vol.53 (9), p.1574-1583

2023

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Corticomuscular Interactions in Real and Imaginary Arm Movements

Neuroscience and behavioral physiology, 2021-07, Vol.51 (6), p.724-733

2021

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Brain–Computer Interfaces: Neurophysiological Bases and Clinical Applications

Neuroscience and behavioral physiology, 2018-11, Vol.48 (9), p.1033-1040

2018

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Evaluation of the Effectiveness of Control Using a Brain–Computer Interface in Training to Upper and Lower Limb Motor Imagery

Neuroscience and behavioral physiology, 2023-06, Vol.53 (5), p.856-862

2023

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Independent EEG components are meaningful (for BCI based on motor imagery)

Neural network world, 2021-01, Vol.31 (5), p.355

2021

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Use of Robotic Devices in Post-Stroke Rehabilitation

Neuroscience and behavioral physiology, 2018-11, Vol.48 (9), p.1053-1066

2018

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Sources of the Electrical Activity of Brain Areas Involving in Imaginary Movements

Neuroscience and behavioral physiology, 2020-09, Vol.50 (7), p.845-855

2020

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Paretic and Non-Paretic Arm Motor Deficit and Recovery as a Function of Lesion Lateralization and Paresis Severity: A Biomechanical Study

Human physiology, 2022, Vol.48 (6), p.667-679

2022

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PRINCIPLES OF MOTOR RECOVERY IN POST-STROKE PATIENTS USING HAND EXOSKELETON CONTROLLED BY THE BRAIN-COMPUTER INTERFACE BASED ON MOTOR IMAGERY

Neural Network World, 2017-01, Vol.27 (1), p.107-137

2017

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Rehabilitation of the Arm Motor Function in Poststroke Patients with an Exoskeleton-Controlling Brain–Computer Interface: Effect of Repeated Hospitalizations

Human physiology, 2020-05, Vol.46 (3), p.321-331

2020

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Motor Imagery and Its Practical Application

Neuroscience and behavioral physiology, 2014-06, Vol.44 (5), p.483-489

2014

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Electrophysiological brain activity during the control of a motor imagery-based brain–computer interface

Human physiology, 2017-09, Vol.43 (5), p.501-511

2017

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Rehabilitation of Stroke Patients with a Bioengineered “Brain–Computer Interface with Exoskeleton” System

Neuroscience and behavioral physiology, 2016-06, Vol.46 (5), p.518-522

2016

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Principles of neurorehabilitation based on the brain-computer interface and biologically adequate control of the exoskeleton

Human physiology, 2013-03, Vol.39 (2), p.196-208

2013

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Rehabilitation potential of post-stroke patients training for kinesthetic movement imagination: Motor and cognitive aspects

Human physiology, 2017-09, Vol.43 (5), p.532-541

2017

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Rehabilitation of patients with cerebral palsy using hand exoskeleton controlled by brain-computer interface

Bulletin of Russian State Medical University, 2020-07 (2020(4)), p.33-40

2020

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Motor imagery and its practical application

Zurnal vyss̆ej nervnoj dejatelnosti imeni I P Pavlova, 2013-03, Vol.63 (2), p.195

2013

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Sources of electrophysiological and foci of hemodynamic brain activity most relevant for controlling a hybrid brain–Computer interface based on classification of EEG patterns and near-infrared spectrography signals during motor imagery

Human physiology, 2016-05, Vol.42 (3), p.241-251

2016

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Arm Motor Function Recovery during Rehabilitation with the Use of Hand Exoskeleton Controlled by Brain-Computer Interface: a Patient with Severe Brain Damage

Fiziologiia cheloveka, 2016-01, Vol.42 (1), p.19

2016

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Bayesian classifier for brain-computer interface based on mental representation of movements

Zurnal vyss̆ej nervnoj dejatelnosti imeni I P Pavlova, 2012-01, Vol.62 (1), p.89

2012

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Localization of brain electrical activity sources and hemodynamic activity foci during motor imagery

Human physiology, 2014-05, Vol.40 (3), p.273-283

2014

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Effects of Selection of the Learning Set Formation Strategy and Filtration Method on the Effectiveness of a BCI Based on Near Infrared Spectrometry

Foundations and Characteristics of the Use of Motor Imagery and Brain–Computer Interfaces in Rehabilitation in Juvenile Cerebral Palsy

Measures of Neuroplastic and Functional Rearrangements during Recovery of Motor Function during Post-Stroke Rehabilitation

Neurorehabilitation with the Use of an Arm Exoskeleton Controlled via Brain–Computer Interface: Implemented Interdisciplinary Project

Analysis of Cerebral and Muscle Activity during Control of a Corticospinal Neural Interface

Corticomuscular Interactions in Real and Imaginary Arm Movements

Brain–Computer Interfaces: Neurophysiological Bases and Clinical Applications

Evaluation of the Effectiveness of Control Using a Brain–Computer Interface in Training to Upper and Lower Limb Motor Imagery

Independent EEG components are meaningful (for BCI based on motor imagery)

Use of Robotic Devices in Post-Stroke Rehabilitation

Sources of the Electrical Activity of Brain Areas Involving in Imaginary Movements

Paretic and Non-Paretic Arm Motor Deficit and Recovery as a Function of Lesion Lateralization and Paresis Severity: A Biomechanical Study

PRINCIPLES OF MOTOR RECOVERY IN POST-STROKE PATIENTS USING HAND EXOSKELETON CONTROLLED BY THE BRAIN-COMPUTER INTERFACE BASED ON MOTOR IMAGERY

Rehabilitation of the Arm Motor Function in Poststroke Patients with an Exoskeleton-Controlling Brain–Computer Interface: Effect of Repeated Hospitalizations

Motor Imagery and Its Practical Application

Electrophysiological brain activity during the control of a motor imagery-based brain–computer interface

Rehabilitation of Stroke Patients with a Bioengineered “Brain–Computer Interface with Exoskeleton” System

Principles of neurorehabilitation based on the brain-computer interface and biologically adequate control of the exoskeleton

Rehabilitation potential of post-stroke patients training for kinesthetic movement imagination: Motor and cognitive aspects

Rehabilitation of patients with cerebral palsy using hand exoskeleton controlled by brain-computer interface

Motor imagery and its practical application

Sources of electrophysiological and foci of hemodynamic brain activity most relevant for controlling a hybrid brain–Computer interface based on classification of EEG patterns and near-infrared spectrography signals during motor imagery

Arm Motor Function Recovery during Rehabilitation with the Use of Hand Exoskeleton Controlled by Brain-Computer Interface: a Patient with Severe Brain Damage

Bayesian classifier for brain-computer interface based on mental representation of movements

Localization of brain electrical activity sources and hemodynamic activity foci during motor imagery

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