Simulation and design of an active orthosis for an incomplete spinal cord injured subject

The dynamic simulation of incomplete spinal cord injured individuals equipped with active orthoses is a challenging problem due to the redundancy of the simultaneous human-orthosis actuation. The objective of this work is two-fold. Firstly, a physiological static optimization approach to solve the m...

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Detalles Bibliográficos
Autores: Font Llagunes, Josep Maria|||0000-0002-7192-2980, Pàmies Vilà, Rosa|||0000-0002-3814-9199, Alonso Sánchez, Francisco Javier, Lugrís Armesto, Urbano
Tipo de recurso: artículo
Fecha de publicación:2011
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/127813
Acceso en línea:https://hdl.handle.net/2117/127813
https://dx.doi.org/10.1016/j.piutam.2011.04.007
Access Level:acceso abierto
Palabra clave:Biomechanics
Active orthosis
Static optimization
Muscle modeling
Biomecànica
Àrees temàtiques de la UPC::Enginyeria biomèdica::Biomecànica
Descripción
Sumario:The dynamic simulation of incomplete spinal cord injured individuals equipped with active orthoses is a challenging problem due to the redundancy of the simultaneous human-orthosis actuation. The objective of this work is two-fold. Firstly, a physiological static optimization approach to solve the muscle-orthosis actuation sharing problem is presented. For this purpose, a biomechanical model based on multibody dynamics techniques is used. The muscles are modeled as Hill-type actuators and the atrophy of denervated muscles is considered by adding stiff and dissipative elements. Secondly, the mechanical design of a new active stance-control knee-ankle-foot orthosis (A-SCKAFO) is addressed. The proposed device consists of a passive joint that constrains ankle plantar flexion, along with a powered knee unit that prevents flexion during stance and controls flexion-extension during swing. The knee actuation is selected based on the results obtained through the optimization approach.