Publications associées à Single-unit recording

An EEG-based brain-computer interface for gait training

José del Rocio Millán Ruiz, Kyuhwa Lee, Dong Liu

This work presents an electroencephalography (EEG)-based Brain-computer Interface (BCI) that decodes cerebral activities to control a lower-limb gait training exoskeleton. Motor imagery (MI) of flexion and extension of both legs was distinguished from the ...

2017

Photovoltaic stimulation of retinal ganglion cells with wide-field epiretinal prosthesis

Diego Ghezzi, Kevin Sivula, Marta Jole Ildelfonsa Airaghi Leccardi, Laura Ferlauto, Naïg Aurelia Ludmilla Chenais

Retinal prostheses have become in the past decade a promising and realistic technology to restore vision. Nonetheless, sight restoration with retinal prostheses in a clinically relevant perspective requires resolution and implantation challenges not yet ac ...

2017

EXiO-A Brain-Controlled Lower Limb Exoskeleton for Rhesus Macaques

Hannes Bleuler, Mohamed Bouri, Jeremy Olivier, Miguel Nicolelis, Tristan Hubert Vouga

Recent advances in the field of brain-machine interfaces (BMIs) have demonstrated enormous potential to shape the future of rehabilitation and prosthetic devices. Here, a lower-limb exoskeleton controlled by the intracortical activity of an awake behaving ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Decoding of Self-paced Lower-Limb Movement Intention: A Case Study on the Influence Factors

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Dong Liu

Brain-machine interfaces (BMIs) have been applied as new rehabilitation tools for motor disabled individuals. Active involvement of cerebral activity has been shown to enhance neuroplasticity and thus to restore mobility. Various studies have focused on th ...

Frontiers Research Foundation2017

Harnessing prefrontal cognitive signals for brain-machine interfaces

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano

Brain-machine interfaces (BMIs) enable humans to interact with devices by modulating their brain signals. Despite impressive technological advancements, several obstacles remain. The most commonly used BMI control signals are derived from the brain areas i ...

Elsevier2017

Brain-actuated gait trainer with visual and proprioceptive feedback

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

Objective. Brain-machine interfaces (BMIs) have been proposed in closed-loop applications for neuromodulation and neurorehabilitation. This study describes the impact of different feedback modalities on the performance of an EEG-based BMI that decodes moto ...

Institute of Physics2017

Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future

Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil, Anton Nijholt

Brain–computer interfaces (BCI) (also referred to as brain–machine interfaces; BMI) are, by definition, an interface between the human brain and a technological application. Brain activity for interpretation by the BCI can be acquired with either invasive ...

Taylor & Francis Ltd2017

Compact, Energy-Efficient High-Frequency Switched Capacitor Neural Stimulator With Active Charge Balancing

Alexandre Schmid, Wen-Yang Hsu

Safety and energy efficiency are two major concerns for implantable neural stimulators. This paper presents a novel high-frequency, switched capacitor (HFSC) stimulation and active charge balancing scheme, which achieves high energy efficiency and well-con ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Single-unit recording

An EEG-based brain-computer interface for gait training

Using the Green's function to simplify and understand dendrites

Photovoltaic stimulation of retinal ganglion cells with wide-field epiretinal prosthesis

EXiO-A Brain-Controlled Lower Limb Exoskeleton for Rhesus Macaques

Decoding of Self-paced Lower-Limb Movement Intention: A Case Study on the Influence Factors

Harnessing prefrontal cognitive signals for brain-machine interfaces

Brain-actuated gait trainer with visual and proprioceptive feedback

Microstructural degradation of silicon electrodes during lithiation observed via operando X-ray tomographic imaging

Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future

Compact, Energy-Efficient High-Frequency Switched Capacitor Neural Stimulator With Active Charge Balancing

Graph Chatbot

Chattez avec Graph Search

Photovoltaic stimulation of retinal ganglion cells with wide-field epiretinal prosthesis

Harnessing prefrontal cognitive signals for brain-machine interfaces

EXiO-A Brain-Controlled Lower Limb Exoskeleton for Rhesus Macaques

An EEG-based brain-computer interface for gait training

Microstructural degradation of silicon electrodes during lithiation observed via operando X-ray tomographic imaging

Decoding of Self-paced Lower-Limb Movement Intention: A Case Study on the Influence Factors

Brain-actuated gait trainer with visual and proprioceptive feedback

Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future

Compact, Energy-Efficient High-Frequency Switched Capacitor Neural Stimulator With Active Charge Balancing

Using the Green's function to simplify and understand dendrites