A New Upgrading Model for Detecting the Reaction to Obstacle Appearance During Walking Using EEG
Use este enlace para citar
http://hdl.handle.net/2183/29572
Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución-NoComercial-CompartirIgual 4.0 Internacional
Colecciones
Metadatos
Mostrar el registro completo del ítemTítulo
A New Upgrading Model for Detecting the Reaction to Obstacle Appearance During Walking Using EEGFecha
2016Cita bibliográfica
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
Resumen
[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.
Palabras clave
Obstacle appearance
EEG
Model upgrading
Environmental changes
EEG
Model upgrading
Environmental changes
Versión del editor
Derechos
Atribución-NoComercial-CompartirIgual 4.0 Internacional
ISBN
978-84-617-4298-1 (UCM) 978-84-9749-808-1 (UDC electrónico)
