Cargando…
MILimbEEG: A dataset of EEG signals related to upper and lower limb execution of motor and motor imagery tasks
Biomedical Electroencephalography (EEG) signals are the result of measuring the electric potential difference generated on the scalp surface by neural activity corresponding to each brain area. Accurate and automatic detection of neural activity from the upper and lower limbs using EEG may be helpfu...
Autores principales: | Asanza, Víctor, Lorente-Leyva, Leandro L., Peluffo-Ordóñez, Diego H., Montoya, Daniel, Gonzalez, Kleber |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505670/ https://www.ncbi.nlm.nih.gov/pubmed/37727590 http://dx.doi.org/10.1016/j.dib.2023.109540 |
Ejemplares similares
-
Identification of Lower-Limb Motor Tasks via Brain–Computer Interfaces: A Topical Overview
por: Asanza, Víctor, et al.
Publicado: (2022) -
Decoding Multi-Class Motor Imagery and Motor Execution Tasks Using Riemannian Geometry Algorithms on Large EEG Datasets
por: Shuqfa, Zaid, et al.
Publicado: (2023) -
EEG datasets for motor imagery brain–computer interface
por: Cho, Hohyun, et al.
Publicado: (2017) -
Adaptive PI Controller Based on a Reinforcement Learning Algorithm for Speed Control of a DC Motor
por: Alejandro-Sanjines, Ulbio, et al.
Publicado: (2023) -
EEG oscillatory patterns and classification of sequential compound limb motor imagery
por: Yi, Weibo, et al.
Publicado: (2016)