Cargando…
Resolving the effect of wrist position on myoelectric pattern recognition control
BACKGROUND: The use of pattern recognition-based methods to control myoelectric upper-limb prostheses has been well studied in individuals with high-level amputations but few studies have demonstrated that it is suitable for partial-hand amputees, who often possess a functional wrist. This study’s o...
Autores principales: | Adewuyi, Adenike A., Hargrove, Levi J., Kuiken, Todd A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5418724/ https://www.ncbi.nlm.nih.gov/pubmed/28472991 http://dx.doi.org/10.1186/s12984-017-0246-x |
Ejemplares similares
-
Myoelectric Pattern Recognition Outperforms Direct Control for Transhumeral Amputees with Targeted Muscle Reinnervation: A Randomized Clinical Trial
por: Hargrove, Levi J., et al.
Publicado: (2017) -
Evaluating EMG Feature and Classifier Selection for Application to Partial-Hand Prosthesis Control
por: Adewuyi, Adenike A., et al.
Publicado: (2016) -
A comparison of the real-time controllability of pattern recognition to conventional myoelectric control for discrete and simultaneous movements
por: Young, Aaron J, et al.
Publicado: (2014) -
Dual Window Pattern Recognition Classifier for Improved Partial-Hand Prosthesis Control
por: Earley, Eric J., et al.
Publicado: (2016) -
Myoelectrically controlled wrist robot for stroke rehabilitation
por: Song, Rong, et al.
Publicado: (2013)