Abstract
This working progress paper will focus on determining the extent to which the Electroencephalogram (EEG) signal can be subjected to treatment and classification techniques in order to determine whether it is possible to differentiate between language disorders, as well as learn more about the behavior of these language alterations at the brain level, and provide a tool to support the medical diagnosis. We have established the hypothesis that, through a Brain Computer Interface (BCI) as well as through EEG signal treatment and classification techniques, in conjunction with the application of medical Neurofeedback techniques, and identify relevant information that allows grouping of language disorders; this by measuring concentration levels among patients with these conditions.
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Acknowledgements
To CONACYT, for the support provided during the period of study for the master’s degree. To Dr. Rosario Baltazar and the members of the committee of researchers who took part during the realization of this preliminary study. Special thanks goes to Dr. Socorro Gutierrez and Dr. Consuelo Martnez for their valuable contribution of knowledge in the medical area related to language.
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Martínez, E. et al. (2020). Multiagent System as Support for the Diagnosis of Language Impairments Using BCI-Neurofeedback: Preliminary Study. In: Jezic, G., Chen-Burger, J., Kusek, M., Sperka, R., Howlett, R., Jain, L. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2020. Smart Innovation, Systems and Technologies, vol 186. Springer, Singapore. https://doi.org/10.1007/978-981-15-5764-4_21
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