Cargando…
Muscle Synergies Facilitate Computational Prediction of Subject-Specific Walking Motions
Researchers have explored a variety of neurorehabilitation approaches to restore normal walking function following a stroke. However, there is currently no objective means for prescribing and implementing treatments that are likely to maximize recovery of walking function for any particular patient....
Autores principales: | Meyer, Andrew J., Eskinazi, Ilan, Jackson, Jennifer N., Rao, Anil V., Patten, Carolynn, Fregly, Benjamin J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5061852/ https://www.ncbi.nlm.nih.gov/pubmed/27790612 http://dx.doi.org/10.3389/fbioe.2016.00077 |
Ejemplares similares
-
EMG-driven musculoskeletal model calibration with estimation of unmeasured muscle excitations via synergy extrapolation
por: Ao, Di, et al.
Publicado: (2022) -
Musculoskeletal Model Personalization Affects Metabolic Cost Estimates for Walking
por: Arones, Marleny M., et al.
Publicado: (2020) -
Computational evaluation of psoas muscle influence on walking function following internal hemipelvectomy with reconstruction
por: Vega, Marleny M., et al.
Publicado: (2022) -
How Well Do Commonly Used Co-contraction Indices Approximate Lower Limb Joint Stiffness Trends During Gait for Individuals Post-stroke?
por: Li, Geng, et al.
Publicado: (2021) -
Evaluation of Synergy Extrapolation for Predicting Unmeasured Muscle Excitations from Measured Muscle Synergies
por: Ao, Di, et al.
Publicado: (2020)