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.
Cite as: Faenza, L., Sciolla, G., Colli, M., Sacchi, A. (2001) Study of EEG signals to build a man-computer interface. Proc. Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2001), 188-192
@inproceedings{faenza01_maveba,
author={L. Faenza and G. Sciolla and M. Colli and A. Sacchi},
title={{Study of EEG signals to build a man-computer interface}},
year=2001,
booktitle={Proc. Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2001)},
pages={188--192}
}