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Identification of Time-Varying Ankle Joint Impedance During Periodic Torque Experiments Using Kernel-Based Regression
Unifying system identification and biomechanical formulations for the estimation of muscle, tendon and joint stiffness during human movement
Quantitative comparison of time-varying system identification methods to describe human joint impedance
Locally Periodic Kernel-Based Regression to Identify Time-Varying Ankle Impedance during Locomotion: A Simulation Study
Modeling the nonlinear cortical response in EEG evoked by wrist joint manipulation
Revealing time-varying joint impedance with kernel-based regression and nonparametric decomposition
Adaptation rate in joint dynamics depends on the time-varying properties of the environment
Nonparametric identification of time-varying human joint admittance
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