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Control strategies for active lower extremity prosthetics and orthotics: a review

Journal of neuroengineering and rehabilitation, 2015-01, Vol.12 (1), p.1-1

2015

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Brain-Computer Interfaces

1, 2020

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The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users

PLoS biology, 2018-05, Vol.16 (5), p.e2003787-e2003787

2018

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Personalized neuroprosthetics

Science translational medicine, 2013-11, Vol.5 (210), p.210rv2

2013

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Neurotechnology-aided interventions for upper limb motor rehabilitation in severe chronic stroke

Brain (London, England : 1878), 2019-08, Vol.142 (8), p.2182-2197

2019

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A brain-actuated wheelchair: Asynchronous and non-invasive Brain–computer interfaces for continuous control of robots

Clinical neurophysiology, 2008-09, Vol.119 (9), p.2159-2169

2008

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Classification of upper limb center-out reaching tasks by means of EEG-based continuous decoding techniques

Journal of neuroengineering and rehabilitation, 2017-02, Vol.14 (1), p.9-9, Article 9

2017

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Sensory threshold neuromuscular electrical stimulation fosters motor imagery performance

NeuroImage (Orlando, Fla.), 2018-08, Vol.176, p.268-276

2018

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Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges

Frontiers in neuroscience, 2010-01, Vol.4

2010

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Increasing upper limb training intensity in chronic stroke using embodied virtual reality: a pilot study

Journal of neuroengineering and rehabilitation, 2017-11, Vol.14 (1), p.119-119, Article 119

2017

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Brain‐computer interfaces for post‐stroke motor rehabilitation: a meta‐analysis

Annals of clinical and translational neurology, 2018-05, Vol.5 (5), p.651-663

2018

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Nutritional value of the marine algae wakame (Undaria pinnatifida) and nori (Porphyra purpurea) as food supplements

Journal of applied phycology, 2013-10, Vol.25 (5), p.1271-1276

2013

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Learning From EEG Error-Related Potentials in Noninvasive Brain-Computer Interfaces

IEEE transactions on neural systems and rehabilitation engineering, 2010-08, Vol.18 (4), p.381-388

2010

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Harnessing Prefrontal Cognitive Signals for Brain–Machine Interfaces

Trends in biotechnology (Regular ed.), 2017-07, Vol.35 (7), p.585-597

2017

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Evaluating the Feasibility of Visual Imagery for an EEG-Based Brain-Computer Interface

IEEE transactions on neural systems and rehabilitation engineering, 2024-01, Vol.32, p.2209-2219

2024

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Human EEG reveals distinct neural correlates of power and precision grasping types

NeuroImage (Orlando, Fla.), 2018-11, Vol.181, p.635-644

2018

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A hybrid brain–computer interface based on the fusion of electroencephalographic and electromyographic activities

Journal of neural engineering, 2011-04, Vol.8 (2), p.025011-025011

2011

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EEG-based decoding of error-related brain activity in a real-world driving task

Journal of neural engineering, 2015-12, Vol.12 (6), p.066028-066028

2015

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Cortico-Muscular Coherence Is Reduced Acutely Post-stroke and Increases Bilaterally During Motor Recovery: A Pilot Study

Frontiers in neurology, 2019-02, Vol.10, p.126-126

2019

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Decoding Inner Speech Using Electrocorticography: Progress and Challenges Toward a Speech Prosthesis

Frontiers in neuroscience, 2018-06, Vol.12, p.422-422

2018

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Single trial analysis of slow cortical potentials: a study on anticipation related potentials

Journal of neural engineering, 2013-06, Vol.10 (3), p.036014-036014

2013

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Discriminant brain connectivity patterns of performance monitoring at average and single-trial levels

NeuroImage (Orlando, Fla.), 2015-10, Vol.120, p.64-74

2015

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Errare machinale est: the use of error-related potentials in brain-machine interfaces

Frontiers in neuroscience, 2014-07, Vol.8, p.208-208

2014

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Performance of a deep neural network in teledermatology: a single‐centre prospective diagnostic study

Journal of the European Academy of Dermatology and Venereology, 2021-02, Vol.35 (2), p.546-553

2021

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Cortical and subcortical mechanisms of brain‐machine interfaces

Human brain mapping, 2017-06, Vol.38 (6), p.2971-2989

2017

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Control strategies for active lower extremity prosthetics and orthotics: a review

Brain-Computer Interfaces

The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users

Personalized neuroprosthetics

Neurotechnology-aided interventions for upper limb motor rehabilitation in severe chronic stroke

A brain-actuated wheelchair: Asynchronous and non-invasive Brain–computer interfaces for continuous control of robots

Classification of upper limb center-out reaching tasks by means of EEG-based continuous decoding techniques

Sensory threshold neuromuscular electrical stimulation fosters motor imagery performance

Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges

Increasing upper limb training intensity in chronic stroke using embodied virtual reality: a pilot study

Brain‐computer interfaces for post‐stroke motor rehabilitation: a meta‐analysis

Nutritional value of the marine algae wakame (Undaria pinnatifida) and nori (Porphyra purpurea) as food supplements

Learning From EEG Error-Related Potentials in Noninvasive Brain-Computer Interfaces

Harnessing Prefrontal Cognitive Signals for Brain–Machine Interfaces

Evaluating the Feasibility of Visual Imagery for an EEG-Based Brain-Computer Interface

Human EEG reveals distinct neural correlates of power and precision grasping types

A hybrid brain–computer interface based on the fusion of electroencephalographic and electromyographic activities

EEG-based decoding of error-related brain activity in a real-world driving task

Cortico-Muscular Coherence Is Reduced Acutely Post-stroke and Increases Bilaterally During Motor Recovery: A Pilot Study

Decoding Inner Speech Using Electrocorticography: Progress and Challenges Toward a Speech Prosthesis

Single trial analysis of slow cortical potentials: a study on anticipation related potentials

Discriminant brain connectivity patterns of performance monitoring at average and single-trial levels

Errare machinale est: the use of error-related potentials in brain-machine interfaces

Performance of a deep neural network in teledermatology: a single‐centre prospective diagnostic study

Cortical and subcortical mechanisms of brain‐machine interfaces

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