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

Use this link to cite
http://hdl.handle.net/2183/29572
Except where otherwise noted, this item's license is described as Atribución-NoComercial-CompartirIgual 4.0 Internacional
Collections
Metadata
Show full item recordTitle
A New Upgrading Model for Detecting the Reaction to Obstacle Appearance During Walking Using EEGDate
2016Citation
Iáñez, E., Costa, Á., Úbeda, A., Rodríguez-Ugarte, M., Azorín, J.M. A new upgrading model for detecting the reaction to obstacle appearance during walking using EEG. En Actas de las XXXVII Jornadas de Automática. 7, 8 y 9 de septiembre de 2016, Madrid (pp. 184-189). DOI capítulo: https://doi.org/10.17979/spudc.9788497498081.0184 DOI libro: https://doi.org/10.17979/spudc.9788497498081
Abstract
[Abstract] 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.
Keywords
Obstacle appearance
EEG
Model upgrading
Environmental changes
EEG
Model upgrading
Environmental changes
Editor version
Rights
Atribución-NoComercial-CompartirIgual 4.0 Internacional
ISBN
978-84-617-4298-1 (UCM) 978-84-9749-808-1 (UDC electrónico)