Cargando…
Evaluating Muscle Activation Models for Elbow Motion Estimation
Adoption of wearable assistive technologies relies heavily on improvement of existing control system models. Knowing which models to use and how to improve them is difficult to determine due to the number of proposed solutions with relatively little broad comparisons. One type of these models, muscl...
Autores principales: | Desplenter, Tyler, Trejos, Ana Luisa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948752/ https://www.ncbi.nlm.nih.gov/pubmed/29597281 http://dx.doi.org/10.3390/s18041004 |
Ejemplares similares
-
Development of an EMG-Based Muscle Health Model for Elbow Trauma Patients
por: Farago, Emma, et al.
Publicado: (2019) -
Rehabilitative and assistive wearable mechatronic upper-limb devices: A review
por: Desplenter, Tyler, et al.
Publicado: (2020) -
Evaluation of a computational model to predict elbow range of motion
por: Willing, Ryan T., et al.
Publicado: (2014) -
An Improved EMG-Driven Neuromusculoskeletal Model for Elbow Joint Muscle Torque Estimation
por: Hu, Bingshan, et al.
Publicado: (2021) -
Implementing Machine Learning Algorithms to Classify Postures and Forecast Motions When Using a Dynamic Chair
por: Farhani, Ghazal, et al.
Publicado: (2022)