Biologically Inspired Optimal Terminal Iterative Learning Control for the Swing Phase of Gait in a Hybrid Neuroprosthesis: A Modeling Study

(1) Background: An iterative learning control (ILC) strategy was developed for a “Muscle First” Motor-Assisted Hybrid Neuroprosthesis (MAHNP). The MAHNP combines a backdrivable exoskeletal brace with neural stimulation technology to enable persons with paraplegia due to spinal cord injury (SCI) to e...

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Detalles Bibliográficos
Autores principales: Makowski, Nathaniel S., Fitzpatrick, Marshaun N., Triolo, Ronald J., Reyes, Ryan-David, Quinn, Roger D., Audu, Musa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8869465/
https://www.ncbi.nlm.nih.gov/pubmed/35200424
http://dx.doi.org/10.3390/bioengineering9020071

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8869465/
https://www.ncbi.nlm.nih.gov/pubmed/35200424
http://dx.doi.org/10.3390/bioengineering9020071

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