Brain Symmetry Analysis during the Use of a BCI Based on Motor Imagery for the Control of a Lower-Limb Exoskeleton

Brain–Computer Interfaces (BCI) are systems that allow external devices to be controlled by means of brain activity. There are different such technologies, and electroencephalography (EEG) is an example. One of the most common EEG control methods is based on detecting changes in sensorimotor rhythms...

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Detalles Bibliográficos
Autores: Ferrero, Laura, Ortiz, Mario, Quiles, Vicente, Iáñez, Eduardo, Flores, José A., Azorín, José M.
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad Miguel Hernández de Elche
Repositorio:REDIUMH. Depósito Digital de la UMH
OAI Identifier:oai:dspace.umh.es:11000/38391
Acceso en línea:https://hdl.handle.net/11000/38391
Access Level:acceso abierto
Palabra clave:brain symmetry
Brain–Computer Interfaces
electroencephalography
exoskeleton
motor imagery
laterality
hemisphere specialization
CDU::6 - Ciencias aplicadas::62 - Ingeniería. Tecnología
Descripción
Sumario:Brain–Computer Interfaces (BCI) are systems that allow external devices to be controlled by means of brain activity. There are different such technologies, and electroencephalography (EEG) is an example. One of the most common EEG control methods is based on detecting changes in sensorimotor rhythms (SMRs) during motor imagery (MI). The aim of this study was to assess the laterality of cortical function when performing MI of the lower limb. Brain signals from five subjects were analyzed in two conditions, during exoskeleton-assisted gait and while static. Three different EEG electrode configurations were evaluated: covering both hemispheres, covering the non-dominant hemisphere and covering the dominant hemisphere. In addition, the evolution of performance and laterality with practice was assessed. Although sightly superior results were achieved with information from all electrodes, differences between electrode configurations were not statistically significant. Regarding the evolution during the experimental sessions, the performance of the BCI generally evolved positively the higher the experience was.