Mathematical model for classification of EEG signals

Victor H. Ortiz, Juan J. Tapia

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

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Resumen

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.

Idioma originalInglés
Título de la publicación alojadaOptics and Photonics for Information Processing IX
EditoresMohammad A. Matin, Abdul A. S. Awwal, Andres Marquez, Mireya Garcia Vazquez, Khan M. Iftekharuddin, Mireya Garcia Vazquez, Khan M. Iftekharuddin, Abdul A. S. Awwal, Mohammad A. Matin, Andres Marquez
EditorialSPIE
ISBN (versión digital)9781628417647, 9781628417647
DOI
EstadoPublicada - 2015
Evento9th Conference of Optics and Photonics for Information Processing - San Diego, Estados Unidos
Duración: 10 ago. 201512 ago. 2015

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen9598
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X

Conferencia

Conferencia9th Conference of Optics and Photonics for Information Processing
País/TerritorioEstados Unidos
CiudadSan Diego
Período10/08/1512/08/15

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