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Brain-machine interface in chronic stroke rehabilitation: A controlled study

Annals of neurology, 2013-07, Vol.74 (1), p.100-108

2013

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Brain Computer Interface Treatment for Motor Rehabilitation of Upper Extremity of Stroke Patients-A Feasibility Study

Frontiers in neuroscience, 2020-10, Vol.14, p.591435-591435

2020

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Complete Locked-in and Locked-in Patients: Command Following Assessment and Communication with Vibro-Tactile P300 and Motor Imagery Brain-Computer Interface Tools

Frontiers in neuroscience, 2017-05, Vol.11, p.251-251

2017

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Brain-Machine Interface in Chronic Stroke: Randomized Trial Long-Term Follow-up

Neurorehabilitation and neural repair, 2019-03, Vol.33 (3), p.188-198

2019

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EEG Biomarkers Related With the Functional State of Stroke Patients

Frontiers in neuroscience, 2020-07, Vol.14, p.582-582

2020

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Cortical processing during robot and functional electrical stimulation

Frontiers in systems neuroscience, 2023-03, Vol.17, p.1045396-1045396

2023

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Upper extremity training followed by lower extremity training with a brain-computer interface rehabilitation system

Frontiers in neuroscience, 2024-03, Vol.18, p.1346607-1346607

2024

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Brain–computer interface treatment for gait rehabilitation in stroke patients

Frontiers in neuroscience, 2023-10, Vol.17, p.1256077-1256077

2023

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Assessing Command-Following and Communication With Vibro-Tactile P300 Brain-Computer Interface Tools in Patients With Unresponsive Wakefulness Syndrome

Frontiers in neuroscience, 2018-06, Vol.12, p.423-423

2018

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Corrigendum: EEG biomarkers related with the functional state of stroke patients

Frontiers in neuroscience, 2022-09, Vol.16, p.1032959-1032959

2022

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Residual Upper Arm Motor Function Primes Innervation of Paretic Forearm Muscles in Chronic Stroke after Brain-Machine Interface (BMI) Training

PloS one, 2015-10, Vol.10 (10), p.e0140161-e0140161

2015

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BCI Performance and Brain Metabolism Profile in Severely Brain-Injured Patients Without Response to Command at Bedside

Frontiers in neuroscience, 2018-06, Vol.12, p.370-370

2018

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Decoding upper limb residual muscle activity in severe chronic stroke

Annals of clinical and translational neurology, 2015-01, Vol.2 (1), p.1-11

2015

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Paired Associative Stimulation Using Brain-Computer Interfaces for Stroke Rehabilitation: A Pilot Study

European journal of translational myology, 2016-06, Vol.26 (3), p.6132-6132

2016

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A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals

International journal of neural systems, 2024-02, Vol.34 (2), p.2350068

2024

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Brain Computer Interface treatment for gait rehabilitation of stroke patients - Preliminary results

2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021, p.2948-2951

2021

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Validation of a Brain-Computer Interface (BCI) System Designed for Patients with Disorders of Consciousness (DOC): Regular and Sham Testing with Healthy Participants

Augmented Cognition. Enhancing Cognition and Behavior in Complex Human Environments, p.253-265

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Brain‐Computer Interfaces With Multi‐Sensory Feedback for Stroke Rehabilitation: A Case Study

Artificial organs, 2017-11, Vol.41 (11), p.E178-E184

2017

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Unresponsive Wakefulness Syndrome Patient Communicating With Brain-Computer Interface

Archives of physical medicine and rehabilitation, 2017-10, Vol.98 (10), p.e126-e127

2017

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Haptic Brain-Computer-Interfaces (BCI) in Stroke

Transactions of Japanese Society for Medical and Biological Engineering, 2013, Vol.51(Supplement), pp.M-139-M-139

2013

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Preliminary Results of a Brain-Computer Interface System based on Functional Electrical Stimulation and Avatar Feedback for Lower Extremity Rehabilitation of Chronic Stroke Patients

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020, p.7-11

2020

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How Can We Train The Brain To Help Stroke Patients?

Frontiers for young minds, 2021-10, Vol.9

2021

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Motor Rehabilitation for Hemiparetic Stroke Patients Using a Brain-Computer Interface Method

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018, p.1001-1005

2018

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How Can Completely Locked-in Persons Communicate With a Brain–Computer Interface?

Frontiers for young minds, 2018-06, Vol.6

2018

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Decoding Motor Preparation Through a Deep Learning Approach Based on EEG Time-Frequency Maps

Applied Intelligence and Informatics, p.159-173

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Brain-machine interface in chronic stroke rehabilitation: A controlled study

Brain Computer Interface Treatment for Motor Rehabilitation of Upper Extremity of Stroke Patients-A Feasibility Study

Complete Locked-in and Locked-in Patients: Command Following Assessment and Communication with Vibro-Tactile P300 and Motor Imagery Brain-Computer Interface Tools

Brain-Machine Interface in Chronic Stroke: Randomized Trial Long-Term Follow-up

EEG Biomarkers Related With the Functional State of Stroke Patients

Cortical processing during robot and functional electrical stimulation

Upper extremity training followed by lower extremity training with a brain-computer interface rehabilitation system

Brain–computer interface treatment for gait rehabilitation in stroke patients

Assessing Command-Following and Communication With Vibro-Tactile P300 Brain-Computer Interface Tools in Patients With Unresponsive Wakefulness Syndrome

Corrigendum: EEG biomarkers related with the functional state of stroke patients

Residual Upper Arm Motor Function Primes Innervation of Paretic Forearm Muscles in Chronic Stroke after Brain-Machine Interface (BMI) Training

BCI Performance and Brain Metabolism Profile in Severely Brain-Injured Patients Without Response to Command at Bedside

Decoding upper limb residual muscle activity in severe chronic stroke

Paired Associative Stimulation Using Brain-Computer Interfaces for Stroke Rehabilitation: A Pilot Study

A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals

Brain Computer Interface treatment for gait rehabilitation of stroke patients - Preliminary results

Validation of a Brain-Computer Interface (BCI) System Designed for Patients with Disorders of Consciousness (DOC): Regular and Sham Testing with Healthy Participants

Brain‐Computer Interfaces With Multi‐Sensory Feedback for Stroke Rehabilitation: A Case Study

Unresponsive Wakefulness Syndrome Patient Communicating With Brain-Computer Interface

Haptic Brain-Computer-Interfaces (BCI) in Stroke

Preliminary Results of a Brain-Computer Interface System based on Functional Electrical Stimulation and Avatar Feedback for Lower Extremity Rehabilitation of Chronic Stroke Patients

How Can We Train The Brain To Help Stroke Patients?

Motor Rehabilitation for Hemiparetic Stroke Patients Using a Brain-Computer Interface Method

How Can Completely Locked-in Persons Communicate With a Brain–Computer Interface?

Decoding Motor Preparation Through a Deep Learning Approach Based on EEG Time-Frequency Maps

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