Brain-Computer Interface-Based Neurorehabilitation: From the Lab to the Users’ Home

Escolano, C. ; López-Larraz, E. ; Minguez, J. (Universidad de Zaragoza) ; Montesano, L. (Universidad de Zaragoza)

Resumen: Most of the research in brain-computer interfaces (BCIs) to date is conducted using stationary electroencephalogram (EEG) equipment with high density recordings, and performed in controlled laboratory settings. Moving BCI-based neurorehabilitation or motor substitution applications from the laboratory to home settings will improve accessibility to these therapies while allowing a more intensive data collection to foster the scientific progress. One of the barriers for this is the EEG technology itself. We developed a new dry EEG system within the MoreGrasp H2020 EU project to allow BCI home use for spinal cord injury patients. This paper describes the EEG activity measured with this new EEG system under well known experimental protocols such as resting-state, visual evoked potentials, and self-initiated reach-and-grasp movements.

Idioma: Inglés

DOI: 10.1007/978-3-030-70316-5_91

Año: 2022

Publicado en: Biosystems & biorobotics 28 (2022), 569-573
ISSN: 2195-3562

Factor impacto CITESCORE: 0.7 - Computer Science (Q4) - Engineering (Q4)

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Ingen.Sistemas y Automát. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)