EEG Signal Processing for BCI Applications
In this article we offer a communication system to people who undergo a severe loss of motor function as a result of various accidents and/or diseases so that they can control and interact better with the environment, for which a brain-computer interface has been implemented through the acquisition of EEG signals by electrodes and implementation of algorithms to extract characteristics and execute a method of classification that would interpret these signals and execute corresponding actions The first objective is to design and construct a system of communication and control based on the thought, able to catch and measure EEG signals. The second objective is to implement the system of data acquisition including a digital filter in real time that allows us to eliminate the noise. The third objective is to analyze the variation of the EEG signals in front of the different tasks under study and of implementing an algorithm of extraction of characteristics. The fourth objective is to work on the basis of the characteristics of the EEG signals, to implement a classification system that can discriminate between the two tasks under study on the basis of the corresponding battles.
KeywordsAmyotrophic Lateral Sclerosis Little Mean Square Brain Computer Interface Beta Band Frequency Band Alpha
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- [Kirby 2004]Kirby, M.: Some mathematical ideas for attacking the brain computer interface problem. Departement of Mathematics, Colorado State University (2004)Google Scholar
- [Kuo-Kai et al. 2010]
- [Lecocp and Cabestaing 2008]Lecocq, C., Cabestaing, F.: Les interfaces cerveau-machine pour la palliation du handicap motor severe. LAGIS – Laboratoire d’Automatique, Génie Informatique & Signal, Université des Sciences et Technologie de Lille (2008)Google Scholar
- [Lecuyer 2007]Lecuyer, A.: Interfaces cerveau-machine: Avancees recentes et perspectives a travers le projet open-vibe. Journée IrisaTech. (2007)Google Scholar
- [Roman-Gonzalez 2010a]Roman Gonzalez, A.: System of communication and control based on the thought. In: Proc. 3rd International Conference on Human System Interaction, Poland, pp. 275–280 (2010)Google Scholar
- [Roman-Gonzalez 2010b]Roman Gonzalez, A.: Communication technologies based on brain activity. In: World Congress in Computer Science, Computer Engineering and Applied Computing – WORLDCOMP 2010, Las Vegas, Nevada, USA (2010)Google Scholar
- [Solis-Escalante and Pfurtscheller 2009]Solis Escalante, T., Pfurtscheller, G.: Brain switch asincrónico basado en ritmos sensorimotores. Seminario de Bioingeniería Elche (2009)Google Scholar
- [Tanaka et al. 2005]
- [Toyota 2009]Toyota Motor Corporation, Real-time control of wheelchairs with brain waves. RIKEN (2009)Google Scholar
- [Wolpaw et al. 2002]