Version 1
Time-varying system identification methods for describing human joint impedance
van de Ruit, Mark;Schouten, Alfred;Mugge, Winfred;Lataire, John;Cavallo, Gaia;Ludvig, Daniel
Description
This dataset contains data and scripts used in:"Quantitative comparison of time-varying systemidentification 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.
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Metrics Over Time
Publication Details
DOI
Publisher
4TU.ResearchData
Subfield
Electrical and Electronic Engineering
Field
Engineering
Domain
Physical Sciences
Confidence Score
48%
Source
Scholar Data Model
Keywords
Biomedical EngineeringFOS: Medical engineeringHuman Movement and Sports ScienceFOS: Health sciencesjoint impedancetime-varying system identificationhuman motor controlTime: 2018-2021