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Error Potentials for Brain-Computer Interfaces

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Clinical evaluation of BrainTree, a motor imagery hybrid BCI speller

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis, Michele Tavella

Objective. While brain-computer interfaces (BCIs) for communication have reached considerable technical maturity, there is still a great need for state-of-the-art evaluation by end-users outside laboratory environments. To achieve this primary objective, i ...

Institute of Physics2014

In this paper, the results of a pilot interview study with 19 subjects participating in an EEG-based non-invasive brain–computer interface (BCI) research study on stroke rehabilitation and assistive technology and of a survey among 17 BCI professionals are ...

Springer2014

Operating brain-actuated devices requires split attention between the interaction of the device with its environment and the Brain-Computer Interface (BCI) feedback. Recently we demonstrated that BCI feedback could be provided via tactile stimulation and n ...

2014

A Novel Compressive Sensing Architecture for High-Density Biological Signal Recording

Alexandre Schmid, Mahsa Shoaran, Hossein Afshari

The massive amount of data recorded by dense electrode arrays which are routinely connected to Nyquist-sampling signal conditioning blocks introduces new design challenges for implantable and wireless biological signal acquisition. Five different architect ...

2014

Exploiting Recognition of Natural Visual Stimuli for Brain Computer Interfacing

Marija Uscumlic

Visual search is a good illustration about how the brain coordinates a variety of functions such as visual clues extraction from the scene, coordination of the eye-movements, accumu- lation of visual information and visual recognition. It has an important ...

EPFL2013

Inverse Solutions for Brain Computer Interface

José del Rocio Millán Ruiz, Mohit Kumar Goel

Inverse solution allows to estimate sources that generate a given scalp EEG topography. Recently, it has been used in Brain Computer Interfaces (BCIs) to extract robust features based on the hypothesis that projection onto the source space (high dimensiona ...

EPFL2013

Shared electrophysiology mechanisms of body ownership and motor imagery

Olaf Blanke, Nathaniel Evans

Although we feel, see, and experience our hands as our own (body or hand ownership), recent research has shown that illusory hand ownership can be induced for fake or virtual hands and may useful for neuroprosthetics and brain-computer interfaces. Despite ...

Academic Press Inc Elsevier Science2013

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

Covert visuospatial attention Brain-Computer Interface for control and rehabilitation

Luca Tonin

At the current stage, Brain-Computer Interfaces (BCIs) represent a promising technology for communication and control of assistive devices as well as for the clinical motor rehabilitation after a stroke. Current BCI systems may be divided in two main typol ...

EPFL2013

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