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Proceedings Paper

Mathematical model for classification of EEG signals
Author(s): Victor H. Ortiz ; Juan J. Tapia
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Paper Abstract

A mathematical model to filter and classify brain signals from a brain machine interface is developed. The mathematical model classifies the signals from the different lobes of the brain to differentiate the signals: alpha, beta, gamma and theta, besides the signals from vision, speech, and orientation. The model to develop further eliminates noise signals that occur in the process of signal acquisition. This mathematical model can be used on different platforms interfaces for rehabilitation of physically handicapped persons.

Paper Details

Date Published: 9 September 2015
PDF: 6 pages
Proc. SPIE 9598, Optics and Photonics for Information Processing IX, 95981C (9 September 2015); doi: 10.1117/12.2187092
Show Author Affiliations
Victor H. Ortiz , Instituto Politécnico Nacional (Mexico)
Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Juan J. Tapia , Instituto Politécnico Nacional (Mexico)
Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)


Published in SPIE Proceedings Vol. 9598:
Optics and Photonics for Information Processing IX
Abdul A. S. Awwal; Khan M. Iftekharuddin; Mohammad A. Matin; Mireya García Vázquez; Andrés Márquez, Editor(s)

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