Cargando…
Electroencephalogram Source Imaging and Brain Network Based Natural Grasps Decoding
Studying the decoding process of complex grasping movement is of great significance to the field of motor rehabilitation. This study aims to decode five natural reach-and-grasp types using sources of movement-related cortical potential (MRCP) and investigate their difference in cortical signal chara...
Autores principales: | Xu, Baoguo, Deng, Leying, Zhang, Dalin, Xue, Muhui, Li, Huijun, Zeng, Hong, Song, Aiguo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669594/ https://www.ncbi.nlm.nih.gov/pubmed/34916905 http://dx.doi.org/10.3389/fnins.2021.797990 |
Ejemplares similares
-
Decoding Different Reach-and-Grasp Movements Using Noninvasive Electroencephalogram
por: Xu, Baoguo, et al.
Publicado: (2021) -
Natural grasping movement recognition and force estimation using electromyography
por: Xu, Baoguo, et al.
Publicado: (2022) -
Recognizing emotions induced by wearable haptic vibration using noninvasive electroencephalogram
por: Wang, Xin, et al.
Publicado: (2023) -
The Advantage of Low-Delta Electroencephalogram Phase Feature for Reconstructing the Center-Out Reaching Hand Movements
por: Zeng, Hong, et al.
Publicado: (2019) -
Analyzing and Decoding Natural Reach-and-Grasp Actions Using Gel, Water and Dry EEG Systems
por: Schwarz, Andreas, et al.
Publicado: (2020)