Mathematical model for classification of EEG signals

Victor H. Ortiz, Juan J. Tapia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationOptics and Photonics for Information Processing IX
EditorsMohammad 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
PublisherSPIE
ISBN (Electronic)9781628417647, 9781628417647
DOIs
StatePublished - 2015
Event9th Conference of Optics and Photonics for Information Processing - San Diego, United States
Duration: 10 Aug 201512 Aug 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9598
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference9th Conference of Optics and Photonics for Information Processing
Country/TerritoryUnited States
CitySan Diego
Period10/08/1512/08/15

Keywords

  • Brain computer interface
  • Mathematical model
  • Rehabilitation of physically handicapped persons

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