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Segmentation and Averaging of sEMG Muscle Activations Prior to Synergy Extraction

IEEE robotics and automation letters, 2020-04, Vol.5 (2), p.3105-3111

2020

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Design and Evaluation of a Potential Non-Invasive Neurostimulation Strategy for Treating Persistent Anosmia in Post-COVID-19 Patients

Sensors (Basel, Switzerland), 2023-06, Vol.23 (13), p.5880

2023

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Effects of tDCS on Real-Time BCI Detection of Pedaling Motor Imagery

Sensors (Basel, Switzerland), 2018-04, Vol.18 (4), p.1136

2018

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Brain-machine interface based on transfer-learning for detecting the appearance of obstacles during exoskeleton-assisted walking

Frontiers in neuroscience, 2023-03, Vol.17, p.1154480-1154480

2023

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Brain-machine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-study

Journal of neuroengineering and rehabilitation, 2024-04, Vol.21 (1), p.48-48, Article 48

2024

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Decoding the Attentional Demands of Gait through EEG Gamma Band Features

PloS one, 2016-04, Vol.11 (4), p.e0154136-e0154136

2016

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Study of the Functional Brain Connectivity and Lower-Limb Motor Imagery Performance After Transcranial Direct Current Stimulation

International journal of neural systems, 2020-08, Vol.30 (8), p.2050038

2020

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Detection of the Intention of Direction Changes During Gait Through EEG Signals

International journal of neural systems, 2021-11, Vol.31 (11)

2021

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Brain-computer interface enhanced by virtual reality training for controlling a lower limb exoskeleton

iScience, 2023-05, Vol.26 (5), p.106675-106675, Article 106675

2023

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Improving Real-Time Lower Limb Motor Imagery Detection Using tDCS and an Exoskeleton

Frontiers in neuroscience, 2018-10, Vol.12, p.757-757

2018

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Exploring EEG-based motor imagery decoding: a dual approach using spatial features and spectro-spatial Deep Learning model IFNet

Frontiers in neuroinformatics, 2024-02, Vol.18, p.1345425-1345425

2024

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Assessing movement factors in upper limb kinematics decoding from EEG signals

PloS one, 2015-05, Vol.10 (5), p.e0128456-e0128456

2015

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Pseudo-Online BMI Based on EEG to Detect the Appearance of Sudden Obstacles during Walking

Sensors (Basel, Switzerland), 2019-12, Vol.19 (24), p.5444

2019

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A BMI Based on Motor Imagery and Attention for Commanding a Lower-Limb Robotic Exoskeleton: A Case Study

Applied sciences, 2021-05, Vol.11 (9), p.4106

2021

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Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case Study

Frontiers in neurorobotics, 2020-08, Vol.14, p.48-48

2020

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Wireless and Portable EOG-Based Interface for Assisting Disabled People

IEEE/ASME transactions on mechatronics, 2011-10, Vol.16 (5), p.870-873

2011

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Using eye movement to control a computer: a design for a lightweight electro-oculogram electrode array and computer interface

PloS one, 2013-07, Vol.8 (7), p.e67099-e67099

2013

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Application of the Stockwell Transform to Electroencephalographic Signal Analysis during Gait Cycle

Frontiers in neuroscience, 2017-11, Vol.11, p.660-660

2017

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Classify four imagined objects with EEG signals

Evolutionary intelligence, 2022-09, Vol.15 (3), p.1657-1666

2022

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An EEG database for the cognitive assessment of motor imagery during walking with a lower-limb exoskeleton

Scientific data, 2023-06, Vol.10 (1), p.343-343, Article 343

2023

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EEG-Based Detection of Starting and Stopping During Gait Cycle

International journal of neural systems, 2016-11, Vol.26 (7), p.1650029

2016

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Combining a Brain–Machine Interface and an Electrooculography Interface to perform pick and place tasks with a robotic arm

Robotics and autonomous systems, 2015-10, Vol.72, p.181-188

2015

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Decoding of Turning Intention during Walking Based on EEG Biomarkers

Biosensors (Basel), 2022-07, Vol.12 (8), p.555

2022

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Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent

Frontiers in neuroinformatics, 2017-07, Vol.11, p.45-45

2017

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Quantification of high and low sEMG spectral components during sustained isometric contraction

Physiological reports, 2022-05, Vol.10 (10), p.e15296-n/a

2022

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Segmentation and Averaging of sEMG Muscle Activations Prior to Synergy Extraction

Design and Evaluation of a Potential Non-Invasive Neurostimulation Strategy for Treating Persistent Anosmia in Post-COVID-19 Patients

Effects of tDCS on Real-Time BCI Detection of Pedaling Motor Imagery

Brain-machine interface based on transfer-learning for detecting the appearance of obstacles during exoskeleton-assisted walking

Brain-machine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-study

Decoding the Attentional Demands of Gait through EEG Gamma Band Features

Study of the Functional Brain Connectivity and Lower-Limb Motor Imagery Performance After Transcranial Direct Current Stimulation

Detection of the Intention of Direction Changes During Gait Through EEG Signals

Brain-computer interface enhanced by virtual reality training for controlling a lower limb exoskeleton

Improving Real-Time Lower Limb Motor Imagery Detection Using tDCS and an Exoskeleton

Exploring EEG-based motor imagery decoding: a dual approach using spatial features and spectro-spatial Deep Learning model IFNet

Assessing movement factors in upper limb kinematics decoding from EEG signals

Pseudo-Online BMI Based on EEG to Detect the Appearance of Sudden Obstacles during Walking

A BMI Based on Motor Imagery and Attention for Commanding a Lower-Limb Robotic Exoskeleton: A Case Study

Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case Study

Wireless and Portable EOG-Based Interface for Assisting Disabled People

Using eye movement to control a computer: a design for a lightweight electro-oculogram electrode array and computer interface

Application of the Stockwell Transform to Electroencephalographic Signal Analysis during Gait Cycle

Classify four imagined objects with EEG signals

An EEG database for the cognitive assessment of motor imagery during walking with a lower-limb exoskeleton

EEG-Based Detection of Starting and Stopping During Gait Cycle

Combining a Brain–Machine Interface and an Electrooculography Interface to perform pick and place tasks with a robotic arm

Decoding of Turning Intention during Walking Based on EEG Biomarkers

Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent

Quantification of high and low sEMG spectral components during sustained isometric contraction

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