Performance predictors of motor imagery brain-computer interface based on spatial abilities for upper limb rehabilitation

Kevin Pacheco, Kevin Acuna, Erick Carranza, David Achanccaray, Javier Andreu-Perez

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

12 Citas (Scopus)

Resumen

Motor Imagery based BCIs (MI-BCIs) allow the control of devices and communication by imagining different mental tasks. Despite many years of research, BCIs are still not the most accurate systems to control applications, due to two main factors: signal processing with classification, and users. It is admitted that BCI control involves certain characteristics and abilities in its users for optimal results. In this study, spatial abilities are evaluated in relation to MI-BCI control regarding flexion and extension mental tasks. Results show considerable correlation (r=0.49) between block design test (visual motor execution and spatial visualization) and extension-rest tasks. Additionally, rotation test (mental rotation task) presents significant correlation (r=0.56) to flexion-rest tasks.
Idioma originalEspañol
Título de la publicación alojadaProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Páginas1014-1017
Número de páginas4
EstadoPublicada - 13 set. 2017

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