Imperial College London
Alternate

ProfessorEtienneBurdet

Faculty of Engineering, Department of Bioengineering

Professor of Human Robotics
 
 
 
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Contact

 

e.burdet Website

 
 
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Location

 

419BSir Michael Uren HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Huang:2021:10.1109/TBME.2020.3004491,
author = {Huang, HY and Farkhatdinov, I and Arami, A and Bouri, M and Burdet, E},
doi = {10.1109/TBME.2020.3004491},
journal = {IEEE Transactions on Biomedical Engineering},
pages = {461--469},
title = {Cable-driven robotic interface for lower limb neuromechanics identification},
url = {http://dx.doi.org/10.1109/TBME.2020.3004491},
volume = {68},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This paper presents a versatile cable-driven robotic interface to investigate the single-joint joint neuromechanics of the hip, knee and ankle in the sagittal plane. This endpoint-based interface offers highly dynamic interaction and accurate position control (as is typically required for neuromechanics identification), and provides measurements of position, interaction force and EMG of leg muscles. It can be used with the subject upright, corresponding to a natural posture during walking or standing, and does not impose kinematic constraints on a joint, in contrast to existing interfaces. Mechanical evaluations demonstrated that the interface yields a rigidity above 500 N/m with low viscosity. Tests with a rigid dummy leg and linear springs show that it can identify the mechanical impedance of a limb accurately. A smooth perturbation is developed and tested with a human subject, which can be used to estimate the hip neuromechanics.
AU  - Huang,HY
AU  - Farkhatdinov,I
AU  - Arami,A
AU  - Bouri,M
AU  - Burdet,E
DO  - 10.1109/TBME.2020.3004491
EP  - 469
PY  - 2021///
SN  - 0018-9294
SP  - 461
TI  - Cable-driven robotic interface for lower limb neuromechanics identification
T2  - IEEE Transactions on Biomedical Engineering
UR  - http://dx.doi.org/10.1109/TBME.2020.3004491
UR  - https://www.ncbi.nlm.nih.gov/pubmed/32746036
UR  - https://ieeexplore.ieee.org/document/9123557
UR  - http://hdl.handle.net/10044/1/83982
VL  - 68
ER  -
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