Cargando…
Decoding of Self-paced Lower-Limb Movement Intention: A Case Study on the Influence Factors
Brain-machine interfaces (BMIs) have been applied as new rehabilitation tools for motor disabled individuals. Active involvement of cerebral activity has been shown to enhance neuroplasticity and thus to restore mobility. Various studies have focused on the detection of upper-limb movement intention...
Autores principales: | Liu, Dong, Chen, Weihai, Chavarriaga, Ricardo, Pei, Zhongcai, Millán, José del R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5703734/ https://www.ncbi.nlm.nih.gov/pubmed/29218004 http://dx.doi.org/10.3389/fnhum.2017.00560 |
Ejemplares similares
-
Detection of self-paced reaching movement intention from EEG
signals
por: Lew, Eileen, et al.
Publicado: (2012) -
Single trial prediction of self-paced reaching directions from EEG signals
por: Lew, Eileen Y. L., et al.
Publicado: (2014) -
Homology Characteristics of EEG and EMG for Lower Limb Voluntary Movement Intention
por: Zhang, Xiaodong, et al.
Publicado: (2021) -
Classification of upper limb center-out reaching tasks by means of EEG-based continuous decoding techniques
por: Úbeda, Andrés, et al.
Publicado: (2017) -
Deep Convolutional Neural Network for EEG-Based Motor Decoding
por: Zhang, Jing, et al.
Publicado: (2022)