Cargando…
sEMG feature evaluation for identification of elbow angle resolution in graded arm movement
Automatic and accurate identification of elbow angle from surface electromyogram (sEMG) is essential for myoelectric controlled upper limb exoskeleton systems. This requires appropriate selection of sEMG features, and identifying the limitations of such a system. This study has demonstrated that it...
Autores principales: | Castro, Maria Claudia F, Colombini, Esther L, Junior, Plinio T Aquino, Arjunan, Sridhar P, Kumar, Dinesh K |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4280697/ https://www.ncbi.nlm.nih.gov/pubmed/25422006 http://dx.doi.org/10.1186/1475-925X-13-155 |
Ejemplares similares
-
Gaussian Process Autoregression for Joint Angle Prediction Based on sEMG Signals
por: Liang, Jie, et al.
Publicado: (2021) -
sEMG dataset of routine activities
por: Khan, Asad Mansoor, et al.
Publicado: (2020) -
Preliminary Study on Continuous Recognition of Elbow Flexion/Extension Using sEMG Signals for Bilateral Rehabilitation
por: Song, Zhibin, et al.
Publicado: (2016) -
A High-Level Control Algorithm Based on sEMG Signalling for an Elbow Joint SMA Exoskeleton
por: Copaci, Dorin, et al.
Publicado: (2018) -
Fusion Learning for sEMG Recognition of Multiple Upper-Limb Rehabilitation Movements
por: Zhong, Tianyang, et al.
Publicado: (2021)