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Robert Leeb

Cette personne a quitté l’EPFL

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Publications associées (60)

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

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

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

An online EEG BCI based on covert visuospatial attention in absence of exogenous stimulation

José del Rocio Millán Ruiz, Robert Leeb, Luca Tonin, Aleksander Sobolewski

Objective. In this work we present—for the first time—the online operation of an electroencephalogram (EEG) brain–computer interface (BCI) system based on covert visuospatial attention (CVSA), without relying on any evoked responses. Electrophysiological c ...

Iop Publishing Ltd2013

Multimodal Fusion of Muscle and Brain Signals for a Hybrid-BCI

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Hesam Sagha

Practical Brain-Computer Interfaces (BCIs) for disabled people should allow them to use all their remaining functionalities as control possibilities. Sometimes these people have residual activity of their muscles, most likely in the morning when they are n ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

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

Phase-based features for Motor Imagery Brain-Computer Interfaces

José del Rocio Millán Ruiz, Robert Leeb, Michele Tavella

Motor imagery (MI) brain-computer interfaces (BCIs) translate a subject’s motor intention to a command signal. Most MI BCIs use power features in the mu or beta rhythms, while several results have been reported using a measure of phase synchrony, the phase ...

IEEE2011

Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future

Ricardo Andres Chavarriaga Lozano, Robert Leeb

The Fifth International Brain-Computer Interface (BCI) Meeting met on 3rd June 2013 at the Asilomar Conference Grounds, Pacific Grove, California, USA. The conference included 19 workshops covering topics in brain-computer interface and brain-machine inter ...

2014

Context-aware adaptive spelling in motor imagery BCI

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis

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

Towards Natural Non-Invasive Hand Neuroprostheses for Daily Living

José del Rocio Millán Ruiz, Robert Leeb, Michele Tavella

In this paper we show how healthy subjects can operate a non-invasive asynchronous BCI for controlling a FES neuroprosthesis and manipulate objects to carry out daily tasks in ecological conditions. Both, experienced and novel subjects proved to be able to ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Evidence Accumulation in asynchronous BCI

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis, Hamidreza Bayati

The non-invasive Brain-Computer Interface (BCI) developed in our lab targets asynchronous operation of devices by monitoring electroencephalographic (EEG) activity and identifying oscillatory patterns that the user can voluntary modulate through the execut ...

2011

Brain-Machine Interfaces: Progress in Large Clinical Validation

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis, Luca Tonin, Andrea Biasiucci, Tom Edward Carlson

Brain-machine interfaces (BMI) have largely been demonstrated in laboratory conditions involving, mainly, healthy users. We have recently carried out a series of studies with a substantial number of motor-disabled end-users operating different brain-contro ...

2013

BCI Telepresence: A Six Patient Evaluation

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

In this paper we present the results of six motor-disabled patients manoeuvring a telepresence robot via a BCI. Remarkably, although five of the patients had never visited the location where the telepresence robot was operating, they achieved similar perfo ...

2012

Feel the BCI vibe – vibrotactile BCI feedback

José del Rocio Millán Ruiz, Robert Leeb

Controlling a device via a brain-computer interface (BCI) requires the participant to look and to split the attention between the device and the BCI feedback, which is partly contradictory. Therefore, a stimulation system based on 6 coin-motors is develope ...

Graz University of Technology Publishing House2013

Selective Enhancement of Motor Imagery Features Using Transcranial Direct Current Stimulation

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Andrea Biasiucci

Transcranial Direct Current Stimulation (tDCS) has been shown to selectively modulate cortical responses in memory, motor and perceptual tasks. Here we show that this type of stimulation results in targeted enhancement of brain patterns elicited during mot ...

Graz University of Technology Publishing House2013

Time-Dependent Approach for Single Trial Classification of Covert Visuospatial Attention

José del Rocio Millán Ruiz, Robert Leeb, Luca Tonin

Recently, several studies have started to explore covert visuospatial attention as a control signal for brain–computer interfaces (BCIs). Covert visuospatial attention represents the ability to change the focus of attention from one point in the space with ...

Institute of Physics2012

Human-Computer Interface Issues in Controlling Virtual Reality With Brain-Computer Interface

Robert Leeb

We have integrated the Graz brain-computer interface (BCI) system with a highly immersive virtual reality (VR) Cave-like system. This setting allows for a new type of experience, whereby participants can control a virtual world using imagery of movement. H ...

2010

The hybrid Brain-Computer Interface: a bridge to assistive technology?

José del Rocio Millán Ruiz, Robert Leeb

Brain-Computer Interfaces (BCIs) can be extended by other input signals to form a so-called hybrid BCI (hBCI). Such an hBCI allows the processing of several input signals with at least one brain signal for control purposes, i.e. communication and environme ...

De Gruyter2013

Thinking Penguin: Multi-modal Brain-Computer Interface Control of a VR Game

Robert Leeb

We describe a multi-modal brain-computer interface (BCI) experiment, situated in a highly immersive CAVE. A subject sitting in the virtual environment controls the main character of a virtual reality game: a penguin that slides down a snowy mountain slope. ...

Ieee-Inst Electrical Electronics Engineers Inc2013

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

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis

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

The Birth of the Brain–Controlled Wheelchair

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Tom Edward Carlson

The prospect of controlling devices merely by the power of one’s thoughts is compelling, especially for assistive technology applications. In the accompanying video, we show how we have strived to push brain–computer interface (BCI) technology out of the l ...

2012

Tools for brain-computer interaction: a general concept for a hybrid BCI

José del Rocio Millán Ruiz, Robert Leeb, Luca Tonin, Michele Tavella

The aim of this work is to present the development of a hybrid Brain-Computer Interface (hBCI) which combines existing input devices with a BCI. Thereby, the BCI should be available if the user wishes to extend the types of inputs available to an assistive ...

Frontiers Research Foundation2011