Cargando…
Developing a Motor Imagery-Based Real-Time Asynchronous Hybrid BCI Controller for a Lower-Limb Exoskeleton
This study aimed to develop an intuitive gait-related motor imagery (MI)-based hybrid brain-computer interface (BCI) controller for a lower-limb exoskeleton and investigate the feasibility of the controller under a practical scenario including stand-up, gait-forward, and sit-down. A filter bank comm...
Autores principales: | Choi, Junhyuk, Kim, Keun Tae, Jeong, Ji Hyeok, Kim, Laehyun, Lee, Song Joo, Kim, Hyungmin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766128/ https://www.ncbi.nlm.nih.gov/pubmed/33352714 http://dx.doi.org/10.3390/s20247309 |
Ejemplares similares
-
High-Frequency Vibrating Stimuli Using the Low-Cost Coin-Type Motors for SSSEP-Based BCI
por: Kim, Keun-Tae, et al.
Publicado: (2022) -
Improving Real-Time Lower Limb Motor Imagery Detection Using tDCS and an Exoskeleton
por: Rodríguez-Ugarte, Marisol, et al.
Publicado: (2018) -
Multi-Domain Convolutional Neural Networks for Lower-Limb Motor Imagery Using Dry vs. Wet Electrodes
por: Jeong, Ji-Hyeok, et al.
Publicado: (2021) -
An EEG database for the cognitive assessment of motor imagery during walking with a lower-limb exoskeleton
por: Ortiz, Mario, et al.
Publicado: (2023) -
A BCI System Based on Motor Imagery for Assisting People with Motor Deficiencies in the Limbs
por: Attallah, Omneya, et al.
Publicado: (2020)