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.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.8

FAIR Score

73%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

4TU.ResearchData

License

Creative Commons Attribution 4.0 International

Assigned Domain

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

Normalization Factors

FT

57.69

CTw

1.00

MTw

1.00