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sEMG-based single-joint active training with iLeg—A horizontal exoskeleton for lower limb rehabilitation

Version 2 2024-06-06, 11:44
Version 1 2015-03-20, 15:32
chapter
posted on 2024-06-06, 11:44 authored by J Hu, Z-G Hou, L Peng, N Gu
In this paper, surface electromyography (sEMG) from muscles of the lower limb is acquired and processed to estimate the singlejoint voluntary motion intention, based on which, two single-joint active training strategies are proposed with iLeg, a horizontal exoskeleton for lower limb rehabilitation newly developed at our laboratory. In damping active training, the joint angular velocity is proportionally controlled by the voluntary effort derived from sEMG, performing as an ideal damper, while spring active training aims to create a spring-like environment where the joint angular displacement from the constant reference is proportionally controlled by the voluntary effort. Experiments are conducted with iLeg and one healthy male subject to validate the feasibility of the two single-joint active training strategies.

History

Volume

8836

Chapter number

65

Pagination

535-542

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783319126425

Language

eng

Publication classification

B Book chapter, B1 Book chapter

Copyright notice

2014, Springer Verlag

Extent

83

Editor/Contributor(s)

Loo CK, Yap KS, Wong KW, Teoh A, Huang K

Publisher

Springer Verlag

Place of publication

Berlin, Germany

Title of book

Neural information processing : 21st International Conference ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part III

Series

Lecture Notes in Computer Science

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