Difference between revisions of "BCI based on Motor Imagery"
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|title=BCI based on Motor Imagery | |title=BCI based on Motor Imagery | ||
|short_descr=This project is aimed is to control an external device through the analysis of brain waves measured on the human scalp. | |short_descr=This project is aimed is to control an external device through the analysis of brain waves measured on the human scalp. | ||
| + | |coordinator=MatteoMatteucci | ||
|tutor=MatteoMatteucci;RossellaBlatt;BernardoDalSeno | |tutor=MatteoMatteucci;RossellaBlatt;BernardoDalSeno | ||
|students=FabioZennaro | |students=FabioZennaro | ||
|resarea=BioSignal Analysis | |resarea=BioSignal Analysis | ||
| − | |status= | + | |status=Closed |
}} | }} | ||
== '''Website(s)''' == | == '''Website(s)''' == | ||
Latest revision as of 17:44, 3 December 2010
BCI based on Motor Imagery
| |
| Short Description: | This project is aimed is to control an external device through the analysis of brain waves measured on the human scalp. |
| Coordinator: | MatteoMatteucci (matteo.matteucci@polimi.it) |
| Tutor: | MatteoMatteucci (matteo.matteucci@polimi.it), RossellaBlatt (blatt@elet.polimi.it), BernardoDalSeno (bernardo.dalseno@polimi.it) |
| Collaborator: | |
| Students: | FabioZennaro (fabio.zennaro@mail.polimi.it) |
| Research Area: | BioSignal Analysis |
| Research Topic: | |
| Status: | Closed |
Website(s)
BioSignal Analysis on Airlab website
Project description
A Brain Computer Interface (BCI), also called Brain Machine Interface (BMI), is an advanced communication pathway that can allow an individual to control an external device, such as a wheelchair or a cursor on a computer, using signals measured from the brain (e.g., electroencephalography EEG). Research in this direction results of particular interest when addressed to totally paralyzed people. Using the mu and beta rhythms people has learnt to control their brain activity and thus to control external devices, such as a wheelchair, a cursor on a screen etc. We want to develop a system able to allow users to control the movement of an external device, controlling his/her mu or beta rhythms.
References
- Control of two-dimensional movement signals by a noninvasive brain-computer interface in humans, Wolpaw J.R., McFarland J., PNAS, vol. 101, no. 51, december 2004, pages 17849-17854.
- Brain Computer interfaces for communication and control, Wolpaw J.R., Birbaumer N., McFarland D., Pfurtsheller G., Vaughan T., Clinical Neurophysiology 113, 2002, 767-791
- EEG based communication: prospects and problems, Vaughan T., Wolpaw J.R., Donchin E., IEEE transactions on rehabilitation engineering, vol. 4, no. 4, december 1996, pages 425-430.
