NDLI: Relationship between ankle stiffness structure and muscle activation

Content Provider	IEEE Xplore Digital Library
Author	Hyunglae Lee Shuo Wang Hogan, N.
Copyright Year	2012
Description	Author affiliation: Mech. Eng. Dept., Massachusetts Inst. of Technol., Cambridge, MA, USA (Hyunglae Lee; Shuo Wang; Hogan, N.)
Abstract	This paper presents a characterization of the structure of ankle stiffness under multiple levels of muscle activation and the relationship between them. A multi-variable impedance estimation method using a wearable ankle robot enabled clear identification of ankle stiffness structure in the space consisting of the sagittal and frontal planes. With visual feedback showing current and target muscle activation levels, all subjects could successfully maintain multiple target levels (5%~30% of the maximum voluntary contraction level). Stiffness increased with muscle activation, but the increase was more pronounced in the dorsiflexion-plantarflexion direction than in the inversion-eversion direction, which resulted in a characteristic “peanut” shape. The relation between measured muscle activation level and ankle stiffness was evaluated. All subjects showed a highly linear relation not only for the two principal axis directions of the ankle, i.e., dorsiflexion-plantarflexion and inversion-eversion, but also for the average stiffness value of all directions. These major findings were consistent both for the tibialis anterior and triceps surae activation.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	4879
Ending Page	4882
File Size	782430
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6347087
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Muscles Impedance Torque Robots Humans Impedance measurement Biomechanics
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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