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Combining Discriminant and Topographic Information in BCI: Preliminary Results on Stroke Patients

Publications associées (49)

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Error-related EEG potentials in brain-computer interfaces

José del Rocio Millán Ruiz, Pierre Ferrez

People with severe motor disabilities (spinal cord injury (SCI), amyotrophic lateral sclerosis (ALS), etc.) but with intact brain functions are somehow prisoners of their own body. They need alternative ways of communication and control to interact with th ...

EPFL2007

Error-related EEG potentials in brain-computer interfaces

Pierre Ferrez

École Polytechnique Fédérale de Lausanne2007

Non-Invasive Estimates of Local Field Potentials for Brain-Computer Interfaces

José del Rocio Millán Ruiz, Pierre Ferrez

Recent experiments have shown the possibility to use the brain electrical activity to directly control the movement of robots or prosthetic devices in real time. Such neuroprostheses can be invasive or non-invasive, depending on how the brain signals are r ...

The MIT Press2007

Adaptation in Brain-Computer Interfaces

José del Rocio Millán Ruiz, Anna Buttfield

One major challenge in Brain-Computer Interface (BCI) research is to cope with the inherent nonstationarity of the recorded brain signals caused by changes in the subjects brain processes during an experiment. Online adaptation of the classifier embedded i ...

The MIT Press2007

Vibrotactile Feedback in the Context of Mu-Rhythm based BCI

José del Rocio Millán Ruiz

Brain-Computer Interfaces (BCIs) need an uninterrupted flow of feedback to the user, which is usually delivered through the visual channel. Our aim is to explore the benefits of vibrotactile feedback during usersï¿½ training and control of EEG-based BCI ap ...

2007

Haptic Feedback Compared with Visual Feedback for BCI

José del Rocio Millán Ruiz

Feedback plays an important role when learning to use a Brain-Computer Interface (BCI). Here we compare visual and haptic feedback in a short experiment. By imagining left and right hand movements, six subjects tried to control a BCI with the help of eithe ...

2006

Phase synchronization for classification of spontaneous EEG signals in brain-computer interfaces

Elly Gysels

By directly analyzing brain activity, Brain-Computer Interfaces (BCIs) allow for communication that does not rely on any muscular control and therefore constitute a possible communication channel for the completely paralyzed. Typically, the user performs d ...

EPFL2005

Comparison of different feature classifiers for brain computer interfaces

José del Rocio Millán Ruiz

Changes in EEG power spectra related to the imagination of movements may be used to build up a direct communication channel between the brain and computer (Brain Computer Interface; BCI). However, for the practical implementation of a BCI device, the featu ...

2003

Brain-Computer Interface in Multimedia Communication

Touradj Ebrahimi

This article raises various issues in the design of an efficient BCI system in multimedia applications. The main focus is on one specific modality, namely an electroencephalography (EEG)-based BCI. In doing so, we provide an overview of the most recent pro ...

2003