Cargando…
A SEMG-Force Estimation Framework Based on a Fast Orthogonal Search Method Coupled with Factorization Algorithms
A novel framework based on the fast orthogonal search (FOS) method coupled with factorization algorithms was proposed and implemented to realize high-accuracy muscle force estimation via surface electromyogram (SEMG). During static isometric elbow flexion, high-density SEMG (HD-SEMG) signals were re...
Autores principales: | Chen, Xiang, Yuan, Yuan, Cao, Shuai, Zhang, Xu, Chen, Xun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069375/ https://www.ncbi.nlm.nih.gov/pubmed/29997373 http://dx.doi.org/10.3390/s18072238 |
Ejemplares similares
-
Feasibility Study of Advanced Neural Networks Applied to sEMG-Based Force Estimation
por: Xu, Lingfeng, et al.
Publicado: (2018) -
Upper Limb End-Effector Force Estimation During Multi-Muscle Isometric Contraction Tasks Using HD-sEMG and Deep Belief Network
por: Hu, Ruochen, et al.
Publicado: (2020) -
Optimal strategy of sEMG feature and measurement position for grasp force estimation
por: Wu, Changcheng, et al.
Publicado: (2021) -
Estimation of Handgrip Force from SEMG Based on Wavelet Scale Selection
por: Wang, Kai, et al.
Publicado: (2018) -
The Influence of the sEMG Amplitude Estimation Technique on the EMG–Force Relationship
por: Ranaldi, Simone, et al.
Publicado: (2022)