Characterization and design of EEG classifier: Uncertainty and modeling

Aimé Lay-Ekuakille, Giuseppe Vendramin, Amerigo Trotta, Marta De Rinaldis, Antonio Trabacca

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

EEG signals reveal interesting information about human being's cerebral activity. Nowadays information contents can help physicians especially in rehabilitation operations, that is, it is possible to design specific biomedical experimentation in order to help patients to retrieve acceptable and good conditions of their physical apparatus or specific areas of them. In this paper, preliminary criteria of designing and implementing an EEG classification are proposed. A modeling of classification rules is also described.

Original languageEnglish
Title of host publicationMeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications Proceedings
Pages44-48
Number of pages5
DOIs
Publication statusPublished - 2008
EventMeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications - Ottawa, ON, Canada
Duration: May 9 2008May 10 2008

Other

OtherMeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications
CountryCanada
CityOttawa, ON
Period5/9/085/10/08

Keywords

  • Adaptive filtering
  • BCI (Brain Computer Interface)
  • Biomedical instrumentation
  • EEG signal processing
  • Epilepsy
  • Muscular dystrophy
  • WAI (Web Accessibility Initiative)

ASJC Scopus subject areas

  • Biomedical Engineering
  • Medicine (miscellaneous)

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