Mathematical model for classification of EEG signals

Victor H. Ortiz; Juan J. Tapia

doi:10.1117/12.2187092

9 September 2015 Mathematical model for classification of EEG signals

Victor H. Ortiz , Juan J. Tapia

Proceedings Volume 9598, Optics and Photonics for Information Processing IX; 95981C (2015) https://doi.org/10.1117/12.2187092
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

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.

Citation Download Citation

Victor H. Ortiz and Juan J. Tapia "Mathematical model for classification of EEG signals", Proc. SPIE 9598, Optics and Photonics for Information Processing IX, 95981C (9 September 2015); https://doi.org/10.1117/12.2187092

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