Publications associées à Brain-reading

Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke

José del Rocio Millán Ruiz, Hua Zhang, Robert Leeb, Inaki Asier Iturrate Gil, Serafeim Perdikis, Andrea Biasiucci, Tiffany Corbet, Thomas Schmidlin, Dragana Viceic

Brain-computer interfaces (BCI) are used in stroke rehabilitation to translate brain signals into intended movements of the paralyzed limb. However, the efficacy and mechanisms of BCI-based therapies remain unclear. Here we show that BCI coupled to functio ...

2018

Closed-loop electrical neurostimulation: Challenges and opportunities

José del Rocio Millán Ruiz, Inaki Asier Iturrate Gil, Michael Eric Anthony Pereira

Non-invasive and invasive electrical neurostimulation are promising tools to better understand brain function and ultimately treat its malfunction. In current open-loop approaches, a clinician chooses a fixed set of stimulation parameters, informed by obse ...

2018

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

José del Rocio Millán Ruiz, Serafeim Perdikis, Luca Tonin, Sareh Saeedi, Christoph Schneider

This work aims at corroborating the importance and efficacy of mutual learning in motor imagery (MI) brain–computer interface (BCI) by leveraging the insights obtained through our participation in the BCI race of the Cybathlon event. We hypothesized that, ...

2018

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Ping-Keng Jao

Real-time workload estimation can be an important tool to improve human-machine interaction. Despite multiple efforts in this sense, most studies focused on tasks designed to have extreme conditions of workload (high vs low), and these levels remain rather ...

2018

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Ping-Keng Jao

IEEE2018

Brain-Computer Interface meets ROS: A robotic approach to mentally drive telepresence robots

Luca Tonin, Andrea Cimolato

This paper shows and evaluates a novel approach to integrate a non-invasive Brain-Computer Interface (BCI) with the Robot Operating System (ROS) to mentally drive a telepresence robot. Controlling a mobile device by using human brain signals might improve ...

IEEE COMPUTER SOC2018

EEG-based lower-limb movement onset decoding: Continuous classification and asynchronous detection

José del Rocio Millán Ruiz, Mohamed Bouri, Kyuhwa Lee, Ricardo Andres Chavarriaga Lozano, Dong Liu, Fumiaki Iwane

Brain-machine interfaces (BMIs) have been used to incorporate the user intention to trigger robotic devices by decoding movement onset from electroencephalography (EEG). Active neural participation is crucial to promote brain plasticity thus to enhance the ...

2018

Inverse solutions for brain-computer interfaces: Effects of regularisation on localisation and classification

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Mohit Kumar Goel

Estimation of intracranial sources, using inverse solutions methods, has been proposed as a mean to improve performance in non-invasive brain-computer interfaces. These methods estimate the activity of a large number of neural sources from a smaller number ...

2017

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Brain-reading

Neuroprosthetics to support impaired hand functions: A multidisciplinary approach combining brain-machine interfaces and wearable exoskeletons

Analysing Vibrotactually Stimulated EEG Signals to Comprehend Object Shapes

Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke

Closed-loop electrical neurostimulation: Challenges and opportunities

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

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

Brain-Computer Interface meets ROS: A robotic approach to mentally drive telepresence robots

EEG-based lower-limb movement onset decoding: Continuous classification and asynchronous detection

Inverse solutions for brain-computer interfaces: Effects of regularisation on localisation and classification

Graph Chatbot

Chattez avec Graph Search

Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke

Closed-loop electrical neurostimulation: Challenges and opportunities

Analysing Vibrotactually Stimulated EEG Signals to Comprehend Object Shapes

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

Neuroprosthetics to support impaired hand functions: A multidisciplinary approach combining brain-machine interfaces and wearable exoskeletons

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

Brain-Computer Interface meets ROS: A robotic approach to mentally drive telepresence robots

EEG-based lower-limb movement onset decoding: Continuous classification and asynchronous detection

Inverse solutions for brain-computer interfaces: Effects of regularisation on localisation and classification