Characterization of upper limb movement-related EEG dynamics through fractional integrated autoregressive modeling

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2021

Autores

Cavaliere, L (Autor) Outra; Catrambone, V (Autor) Outra; Bianchi, M (Autor) Outra; Rocha, AP (Autor) FCUP; Valenza, G (Autor) Outra

Ata de Conferência Internacional

Título: 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, Mexico, November 1-5, 2021

Páginas: 5987-5990

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-00W-0WT

DOI: 10.1109/embc46164.2021.9630051

Abstract (EN): The analysis of electroencephalographic (EEG) series associated with movement performance is important for understanding the cortical neural control on motor tasks. While the existence of long-range correlations in physiological dynamics has been reported in previous studies, such a characterization in EEG series gathered during upper-limb movements has not been performed yet. To this end, here we report on a fractional integrated autoregressive analysis of EEG series during different functional classes of motor actions and resting phase, and data were gathered from 33 healthy volunteers. Results show significant differences in EEG long-range correlations on EEG series from characteristic topography.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4