A planar neuro-musculoskeletal arm model in post-stroke patients

DOI10.1007/s00422-018-0773-yzbMath1402.92017OpenAlexW2883014636WikidataQ90593926 ScholiaQ90593926MaRDI QIDQ1627036

Mehran Asghari, Saeed Behzadipour, Ghorban Taghizadeh

Publication date: 22 November 2018

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00422-018-0773-y

zbMATH Keywords

optimal controlmusculoskeletal modelCNS model of stroke patientsneuro-musculoskeletal arm model

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Medical applications (general) (92C50)

Cites Work

• Motion control of musculoskeletal systems with redundancy
• Computational nature of human adaptive control during learning of reaching movements in force fields
• Iterative linearization methods for approximately optimal control and estimation of non-linear stochastic system
• Trajectory optimization of industrial robots with application to computer-aided robotics and robot controllers
• Modeling Reaching Impairment After Stroke Using a Population Vector Model of Movement Control That Incorporates Neural Firing-Rate Variability

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