A New Upgrading Model for Detecting the Reaction to Obstacle Appearance During Walking Using EEG

  1. Eduardo Iáñez 1
  2. Álvaro Costa 1
  3. Andrés Úbeda 1
  4. Marisol Rodríguez-Ugarte 1
  5. José M. Azorín 1
  1. 1 Universidad Miguel Hernández de Elche
    info

    Universidad Miguel Hernández de Elche

    Elche, España

    ROR https://ror.org/01azzms13

Libro:
Actas de las XXXVII Jornadas de Automática: Madrid. 7, 8 y 9 de septiembre de 2016

Editorial: Servizo de Publicacións ; Universidade da Coruña ; Comité Español de Automática

ISBN: 978-84-9749-808-1

Año de publicación: 2016

Páginas: 184-189

Congreso: Jornadas de Automática (37. 2016. Madrid)

Tipo: Aportación congreso

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Resumen

In this paper a pseudo-online analysis has been performed to detect the reaction of both healthy users and incomplete Spinal Cord Injury patients to obstacle appearance during walking. A new methodology to improve model has been described. It consist of discarding trials where brain responses to the obstacles does not correspond with the expected. The results suggest that during the experiments performed with patients, distractions or delayed reactions decrease the result. By appliying this methodology, results of patients increase more than 40% beign similar to the obtained with healthy users.

Fuente de los datos: Dialnet