Cargando…
A predictive model of muscle excitations based on muscle modularity for a large repertoire of human locomotion conditions
Humans can efficiently walk across a large variety of terrains and locomotion conditions with little or no mental effort. It has been hypothesized that the nervous system simplifies neuromuscular control by using muscle synergies, thus organizing multi-muscle activity into a small number of coordina...
Autores principales: | Gonzalez-Vargas, Jose, Sartori, Massimo, Dosen, Strahinja, Torricelli, Diego, Pons, Jose L., Farina, Dario |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4585276/ https://www.ncbi.nlm.nih.gov/pubmed/26441624 http://dx.doi.org/10.3389/fncom.2015.00114 |
Ejemplares similares
-
A musculoskeletal model of human locomotion driven by a low dimensional set of impulsive excitation primitives
por: Sartori, Massimo, et al.
Publicado: (2013) -
Human-Machine Interface for the Control of Multi-Function Systems Based on Electrocutaneous Menu: Application to Multi-Grasp Prosthetic Hands
por: Gonzalez-Vargas, Jose, et al.
Publicado: (2015) -
Editorial: Assessing Bipedal Locomotion: Towards Replicable Benchmarks for Robotic and Robot-Assisted Locomotion
por: Torricelli, Diego, et al.
Publicado: (2019) -
Time-division multiplexing for myoelectric closed-loop control using electrotactile feedback
por: Dosen, Strahinja, et al.
Publicado: (2014) -
Encoding force modulation in two electrotactile feedback parameters strengthens sensory integration according to maximum likelihood estimation
por: Gholinezhad, Shima, et al.
Publicado: (2023)