Publications de Robert Leeb | EPFL Graph Search

A Stand-Alone Augmented Reality Intervention for Chronic Pain using Embodied Systolic Stimulation

Skander Mensi, Sylvain Cardin, Oliver Alan Kannape, Robert Leeb, Fabien Bourban, Alexis Dorier, Andrea Serino

Chronic pain presents a tremendous personal, societal, and financial burden. Treatment options are often limited to managing symptoms as opposed to treating the causes, and the consequences of pharmacological treatments can be immensely harmful as evidence ...

IEEE2023

Context-Aware Learning for Generative Models

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Serafeim Perdikis, Robert Leeb

This work studies the class of algorithms for learning with side-information that emerges by extending generative models with embedded context-related variables. Using finite mixture models (FMMs) as the prototypical Bayesian network, we show that maximum- ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Neuromodulation of Temporal Dynamics in Online Visuomotor Control by Anodal HD-tDCS Over the Left Intraparietal Cortex

Silvio Ionta, Serafeim Perdikis, Robert Leeb, Andrea Serino, Borja Rodriguez Herreros

SAGE PUBLICATIONS LTD2019

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

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Michael Eric Anthony Pereira, Robert Leeb, Huaijian Zhang, Inaki Asier Iturrate Gil, Tiffany Corbet

Hand grasping is a sophisticated motor task that has received much attention by the neuroscientific community, which demonstrated how grasping activates a network involving parietal, pre-motor and motor cortices using fMRI, ECoG, LFPs and spiking activity. ...

2018

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

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

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 ...

Nature Research2018

Differential contributions of subthalamic beta rhythms and 1/f broadband activity to motor symptoms in Parkinson’s disease

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Stéphanie Martin, Robert Leeb, Inaki Asier Iturrate Gil, Aleksander Sobolewski, Jocelyne Bloch

Excessive beta oscillatory activity in the subthalamic nucleus (STN) is linked to Parkinson’s Disease (PD) motor symptoms. However, previous works have been inconsistent regarding the functional role of beta activity in untreated Parkinsonian states, quest ...

2018

TiD-Introducing and Benchmarking an Event-Delivery System for Brain-Computer Interfaces

Michele Tavella, Robert Leeb

In this paper, we present and analyze an event distribution system for brain-computer interfaces. Events are commonly used to mark and describe incidents during an experiment and are therefore critical for later data analysis or immediate real-time process ...

Institute of Electrical and Electronics Engineers2017

Behavioral and cortical effects during attention driven brain-computer interface operations in spatial neglect: A feasibility case study

José del Rocio Millán Ruiz, Luca Tonin, Robert Leeb, Huaijian Zhang

During the last years, several studies have suggested that Brain-Computer Interface (BCI) can play a critical role in the field of motor rehabilitation. In this case report, we aim to investigate the feasibility of a covert visuospatial attention (CVSA) dr ...

Frontiers Research Foundation2017

The effect of multimodal and enriched feedback on SMR-BCI performance

José del Rocio Millán Ruiz, Serafeim Perdikis, Robert Leeb

Objective: This study investigated the effect of multimodal (visual and auditory) continuous feedback with information about the uncertainty of the input signal on motor imagery based BCI performance. A liquid floating through a visualization of a funnel ( ...

Elsevier2016

BCI controlled neuromuscular electrical stimulation enables sustained motor recovery in chronic stroke victims

José del Rocio Millán Ruiz, Robert Leeb, Andrea Biasiucci, Thomas Schmidlin, Tiffany Corbet

2016

First steps towards adaptive deep brain stimulation in Parkinson’s disease

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Robert Leeb, Inaki Asier Iturrate Gil, Aleksander Sobolewski, Jocelyne Bloch

2016

Adaptive Assistance for Brain-Computer Interfaces by Online Prediction of Command Reliability

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Robert Leeb, Sareh Saeedi

One of the challenges of using brain-computer interfaces (BCIs) over extended periods of time is the variation of the users' performance across different experimental days. The goal of the current study is to propose a performance estimator for an electroe ...

Institute of Electrical and Electronics Engineers2016

Context-aware adaptive spelling in motor imagery BCI

José del Rocio Millán Ruiz, Serafeim Perdikis, Robert Leeb

Objective. This work presents a first motor imagery-based, adaptive brain–computer interface (BCI) speller, which is able to exploit application-derived context for improved, simultaneous classifier adaptation and spelling. Online spelling experiments with ...

Institute of Physics2016

Decoding of two hand grasping types from EEG

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Robert Leeb, Inaki Asier Iturrate Gil

2016

BCI-NMES therapy enhances effective connectivity in the damaged hemisphere in stroke patients

José del Rocio Millán Ruiz, Serafeim Perdikis, Robert Leeb, Andrea Biasiucci, Huaijian Zhang, Tiffany Corbet

2016

Adaptive assistance for BCI: a locked-in syndrome end-user case study

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Robert Leeb, Sareh Saeedi

2016

Reliable BMI control using epidural ECoG by an hemiplegic user

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Robert Leeb, Aleksander Sobolewski, Jocelyne Bloch

2016

Detecting intention to grasp during reaching movements from EEG

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Robert Leeb, Inaki Asier Iturrate Gil, Luca Randazzo

Brain-computer interfaces (BCI) have been shown to be a promising tool in rehabilitation and assistive scenarios. Within these contexts, brain signals can be decoded and used as commands for a robotic device, allowing to translate user’s intentions into mo ...

2015

Towards Independence: A BCI Telepresence Robot for People with Severe Motor Disabilities

José del Rocio Millán Ruiz, Luca Tonin, Robert Leeb, Tom Edward Carlson

This paper presents an important step forward towards increasing the independence of people with severe motor disabilities, by using brain-computer interfaces (BCI) to harness the power of the Internet of Things. We analyze the stability of brain signals a ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Towards non-invasive hybrid brain-computer interfaces: Framework, practice, clinical application and beyond

José del Rocio Millán Ruiz, Robert Leeb

In their early days, BCIs were only considered as control channel for end users with severe motor impairments such as people in the locked-in state. But, thanks to the multidisciplinary progress achieved over the last decade, the range of BCI applications ...

Ieee-Inst Electrical Electronics Engineers Inc2015