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Time-varying system identification methods for describing human joint impedance

dataset

posted on 09.11.2021, 13:28 authored by Mark van de RuitMark van de Ruit, Alfred SchoutenAlfred Schouten, Winfred Mugge, John Lataire, Gaia Cavallo, Daniel Ludvig

This dataset contains data and scripts used in:

"Quantitative comparison of time-varying system

identification methods to describe human joint impedance",

Annual Reviews in Control, 2021

The data includes simulation and experimental data to identify impedance of the human ankle joints. Five time-varying system identification methods have been used (the ensemble impulse response function, short data segment, basis impulse response function, ensemble spectral and kernel based regression method). For some methods the source files can be found elsewhere.

Funding

Dutch Research Council VENI - project number 17351

History

Publisher

4TU.ResearchData

Time coverage

2018-2021

Format

*.txt; *.m; *.mat; *.slx

Organizations

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering (3mE), Department of Biomechanical Engineering Vrije Universiteit Brussel, Department of ELEC Northwestern University, Department of Biomedical Engineering