Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Cable-Driven Robotic Interface for Lower Limb Neuromechanics Identification
 
research article

Cable-Driven Robotic Interface for Lower Limb Neuromechanics Identification

Huang, Hsien-Yung
•
Farkhatdinov, Ildar
•
Bouri, Mohamed  
Show more
February 1, 2021
Ieee Transactions On Biomedical Engineering

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 electromyography (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.

  • Details
  • Metrics
Type
research article
DOI
10.1109/TBME.2020.3004491
Web of Science ID

WOS:000611114200009

Author(s)
Huang, Hsien-Yung
Farkhatdinov, Ildar
Bouri, Mohamed  
Burdet, Etienne
Date Issued

2021-02-01

Published in
Ieee Transactions On Biomedical Engineering
Volume

68

Issue

2

Start page

461

End page

469

Subjects

Engineering, Biomedical

•

Engineering

•

legged locomotion

•

hip

•

knee

•

force

•

mechanical cables

•

torque

•

biomechanics

•

neural engineering

•

impedance

•

biomedical measurement

•

robot kinematics

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
TNE  
Available on Infoscience
March 26, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/176790
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés