Brain-computer Interface Communication Research Articles

Brain Computer Interfaces for communication and control

Event Abstract Back to Event Brain Computer Interfaces for communication and control Fabio Babiloni1* 1 Imperial College London, United Kingdom Aim: The aim of this paper is to analyze whether the use of the cortical activity estimated from non invasive EEG recordings could be useful to detect mental states related to the imagination of limb movements and how this technology could be useful in clinical applications. Methods: Estimation of cortical activity was performed on high resolution EEG data related to the imagination of limb movements and detection of P300 gathered in a group of normal healthy subjects by using realistic head models. Cortical activity was estimated in Region of Interest associated with the subject's Brodmann areas by using depth-weighted minimum norm solutions. Comparisons between surface recorded EEG and the estimated cortical activity were performed. Subjects are asked to interact with different electronic devices of common use by using such BCI system. A restricted group of patients suffering by cerebral stroke were also involved in the BCI experiments. Motor imagery for stroke patients is used in the context of rehabilitation tasks. Results: With the proposed methodology healthy users are able to drive several mechanical and electronic devices by modulating their EEG activity related to motor imagery. BCI-based P300 is found a methodology easier to use for the stroke patients than motor imagery for driving devices. Rehabilitation tasks in patients involving motor imagery could be checked by using BCI system Conclusions: EEG recordings can be used to drive electronic and mechanical devices in healthy and in a group of patients suffering from stroke. A possible role of BCI system in rehabilitation tasks for certain class of stroke patients has been investigated. The presented approach could extend the possibility for a use of BCI system into the rehabilitation path for those patients. Conference: NeuroMath COST Action BM0601: Neurodynamic Insight into Functional Connectivity, Cognition, and Consciousness, Dubrovnik, Croatia, 27 Mar - 28 Mar, 2010. Presentation Type: Oral Presentation Topic: Talks Citation: Babiloni F (2010). Brain Computer Interfaces for communication and control. Front. Neurosci. Conference Abstract: NeuroMath COST Action BM0601: Neurodynamic Insight into Functional Connectivity, Cognition, and Consciousness. doi: 10.3389/conf.fnins.2010.05.00007 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 24 Jul 2010; Published Online: 24 Jul 2010. * Correspondence: Fabio Babiloni, Imperial College London, Paris, United Kingdom, nemoABS01@frontiersin.org Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Fabio Babiloni Google Fabio Babiloni Google Scholar Fabio Babiloni PubMed Fabio Babiloni Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.