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Spectral representation of EEG data using learned graphs with application to motor imagery decoding
Related publications (37)
Attenuated asymmetry of functional connectivity in schizophrenia: A high-resolution EEG study
Martin Hasler, Reto Meuli, Kim Do, Mahdi Jalili
The interhemispheric asymmetries that originate from connectivity-related structuring of the cortex are compromised in schizophrenia (SZ). Under the assumption that such abnormalities affect functional connectivity, we analyzed its correlate-EEG synchroniz ...
Wiley-Blackwell2010Discriminative Channel Selection Method for the Recognition of Anticipation related Potentials from CCD estimated Cortical Activity
José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Gangadhar Garipelli
Recognition of brain states and subject's intention from electroencephalogram (EEG) is a challenging problem for brain-computer interaction. Signals recorded from each of EEG electrodes represent noisy spatio-temporal overlapping of activity arising from v ...
2009Spontaneous locally restricted EEG alpha activity determines cortical excitability in the motor cortex
There is growing interest in the functional meaning of rhythmical brain activity. For oscillatory brain activity around 10 Hz in the human electroencephalogram (EEG) it is discussed whether it is associated with the level of cortical excitation. However, i ...
Elsevier2009Graphical display for annual climate-based daylight simulation
Marilyne Andersen, Magali Bodart
Due to daylight variability, a design cannot be thoroughly assessed using single-moment simulations, which is why we need dynamic performance metrics like Daylight Autonomy and Useful Daylight Illuminance. Going one step further, the annual variation in pe ...
2008Synchronization in dynamical networks
Complex dynamical networks are ubiquitous in many fields of science from engineering to biology, physics, and sociology. Collective behavior, and in particular synchronization,) is one of the most interesting consequences of interaction of dynamical system ...
EPFL2008EEG source localization by multi-planar analytic sensing
Dimitri Nestor Alice Van De Ville, Thierry Blu, Clotaire Michel, Djano Kandaswamy
Source localization from EEG surface measurements is an important problem in neuro-imaging. We propose a new mathematical framework to estimate the parameters of a multidipole source model. To that aim, we perform 2-D analytic sensing in multiple planes. T ...
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008EEG Source Localization by Multi-Planar Analytic Sensing
Dimitri Nestor Alice Van De Ville, Thierry Blu, Clotaire Michel, Djano Kandaswamy
Source localization from EEG surface measurements is an important problem in neuro-imaging. We propose a new mathematical framework to estimate the parameters of a multidipole source model. To that aim, we perform 2-D analytic sensing in multiple planes. ...
IEEE2008Dictionary Identifiability from Few Training Samples
This article treats the problem of learning a dictionary providing sparse representations for a given signal class, via minimisation, or more precisely the problem of identifying a dictionary from a set of training samples knowing that $ ...
2008Non-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 Press2007High-Resolution EEG Techniques for Brain-Computer Interface Applications
High-resolution electroencephalographic (HREEG) techniques allow estimation of cortical activity based on non-invasive scalp potential measurements, using appropriate models of volume conduction and of neuroelectrical sources. In this study we propose an a ...
2007