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

Recognition of Anticipatory Behavior from Human EEG

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Gangadhar Garipelli

Anticipation increases the efficiency of a daily task by partial advance activation of neural substrates involved in it. Single trial recognition of this activation can be exploited for a novel anticipation based Brain Computer Interface (BCI). In the curr ...

IDIAP2008

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

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

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 ...

École Polytechnique Fédérale de Lausanne2007

Bayesian machine learning applied in a brain-computer interface for disabled users

Ulrich Hoffmann

A brain-computer interface (BCI) is a system that enables control of devices or communication with other persons, only through cerebral activity, without using muscles. The main application for BCIs is assistive technology for disabled persons. Examples fo ...

EPFL2007

Recent Advances in Brain-Computer Interfaces

Touradj Ebrahimi, Jean-Marc Vesin, Ulrich Hoffmann

A brain-computer interface (BCI) is a communication system that translates brain activity into commands for a computer or other devices. In other words, a BCI allows users to act on their environment by using only brain activity, without using peripheral n ...

2007

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

Dysconnection Topography in Schizophrenia Revealed with State-Space Analysis of EEG

Martin Hasler, Reto Meuli, Kim Do, Oscar De Feo, Mahdi Jalili

Background The dysconnection hypothesis has been proposed to account for pathophysiological mechanisms underlying schizophrenia. Widespread structural changes suggesting abnormal connectivity in schizophrenia have been imaged. A functional counterpart of t ...

2007

Brain-Machine Interfaces through Control of Electroencephalographic Signals and Vibrotactile Feedback

José del Rocio Millán Ruiz

A Brain-Computer Interface (BCI) allow direct expression of its userï¿½s will by interpreting signals which directly reflect the brainï¿½s activity, thus bypassing the natural efferent channels (nerves and muscles). To be correctly mastered, it is needed t ...

2007

Visuo-Spatial Attention Frame Recognition for Brain-Computer Interfaces

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Eileen Lew Yi Lee, Pierre Ferrez

Objective: To assess the feasibility of recognizing visual spatial attention frames for Brain-computer interfaces (BCI) applications. Methods: EEG data was recorded with 64 electrodes from 2 subjects executing a visual spatial attention task indicating 2 t ...

2007

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

Recognition of Anticipatory Behavior from Human EEG

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

Error-related EEG potentials in brain-computer interfaces

Error-related EEG potentials in brain-computer interfaces

Bayesian machine learning applied in a brain-computer interface for disabled users

Recent Advances in Brain-Computer Interfaces

Adaptation in Brain-Computer Interfaces

Dysconnection Topography in Schizophrenia Revealed with State-Space Analysis of EEG

Brain-Machine Interfaces through Control of Electroencephalographic Signals and Vibrotactile Feedback

Visuo-Spatial Attention Frame Recognition for Brain-Computer Interfaces

Graph Chatbot

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Recognition of Anticipatory Behavior from Human EEG

Error-related EEG potentials in brain-computer interfaces

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

Error-related EEG potentials in brain-computer interfaces

Bayesian machine learning applied in a brain-computer interface for disabled users

Recent Advances in Brain-Computer Interfaces

Adaptation in Brain-Computer Interfaces

Visuo-Spatial Attention Frame Recognition for Brain-Computer Interfaces

Brain-Machine Interfaces through Control of Electroencephalographic Signals and Vibrotactile Feedback

Dysconnection Topography in Schizophrenia Revealed with State-Space Analysis of EEG