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

• Autores: Pacheco, Kevin, Acuna, Kevin, Carranza, Erick, Achanccaray, David, Andreu-Perez, Javier
• Formato: objeto de conferencia
• Fecha de Publicación: 2017
• Institución: Consejo Nacional de Ciencia Tecnología e Innovación
• Repositorio: CONCYTEC-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.concytec.gob.pe:20.500.12390/1314
• Enlace del recurso: https://hdl.handle.net/20.500.12390/1314; https://doi.org/10.1109/embc.2017.8036998
• Nivel de acceso: acceso abierto
• Materia: Neurorehabilitation; Brain-computer/machine interface; Neural signal processing; https://purl.org/pe-repo/ocde/ford#3.02.25

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.