Second International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2001)
Following recent developments in numerical elaboration and electro-physiological science many researchers now believe it.s possible to build a man-computer interface EEG based. We know that hand movements are accompanied by changes of some EEG features. These changes are called event-related desynchronisations (ERDs) and are picked-up especially in the mu-band (8-12 Hz). We also know ERDs are bilateral for real hand movements, meaning that if we move the right hand we pick-up an ERDs in the mu band from left channels of EEG. We will investigate if, for merely imagined hand movement, ERDs occur in the same way; to do this we will use the approach suggested by W. Penny and S. Robert based on MAR models and Neural Networks.
Bibliographic reference. Faenza, L. / Sciolla, G. / Colli, M. / Sacchi, A. (2001): "Study of EEG signals to build a man-computer interface", In MAVEBA-2001, 188-192.