Non-invasive brain computer interfaces

Unsupervised Classification for Non-invasive Brain-Computer-Interfaces

Non-invasive Brain-Computer-Interfaces (BCIs) are devices that infer the intention of human subjects from signals generated by the central nervous system and recorded outside the skull, e.g., by electroencephalography (EEG). They can be used to enable basic communication for patients who are not able to communicate by normal means, e.g., due to neuro-degenerative diseases such as amyotrophic la...

Non Invasive Brain-Machine Interfaces

Non invasive Brain-Machine Interfaces

This document represents the final report of the study " Non invasive brain-machine interfaces " performed by the Interdepartmental Research Center " E. Piaggio " of the University of Pisa within the ARIADNA framework of activities promoted by the European Space Agency (ESA). Contents of the report are organized as follows. The first part presents a literature survey on the state of the art of ...

Methods Towards Invasive Human Brain Computer Interfaces

During the last ten years there has been growing interest in the development of Brain Computer Interfaces (BCIs). The field has mainly been driven by the needs of completely paralyzed patients to communicate. With a few exceptions, most human BCIs are based on extracranial electroencephalography (EEG). However, reported bit rates are still low. One reason for this is the low signal-to-noise rat...

A brain-actuated wheelchair: asynchronous and non-invasive Brain-computer interfaces for continuous control of robots.

OBJECTIVE To assess the feasibility and robustness of an asynchronous and non-invasive EEG-based Brain-Computer Interface (BCI) for continuous mental control of a wheelchair. METHODS In experiment 1 two subjects were asked to mentally drive both a real and a simulated wheelchair from a starting point to a goal along a pre-specified path. Here we only report experiments with the simulated whee...