Upper body estimation of muscle forces, muscle states, and joint motion using an extended Kalman filter

DOI10.1049/iet-cta.2020.0321zbMATH Open1542.92015MaRDI QIDQ6611560

Gholamreza Khademi, Hanz Richter, Hanieh Mohammadi, Dan Simon, Antonie J. van den Bogert

Publication date: 26 September 2024

Published in: IET Control Theory \& Applications (Search for Journal in Brave)

zbMATH Keywords

nonlinear filtersstate estimationKalman filtersbiomechanicsstandard deviationsimultaneous estimationmuscle dynamicsjoint momentsmuscle forcesmotion dynamicsestimation errorselectromyographymedical signal processingjoint anglesjoint velocitiesjoint torquesdynamic human arm modeldynamic state estimation techniquesjoint motion statesmuscle activationsmuscle statesmuscle-tendon lengthsoptimally tuned extended Kalman filterupper body estimation

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Biomechanics (92C10)

Cites Work

• State Estimation For An Agonistic‐Antagonistic Muscle System
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