Are joint torque models limited by an assumption of monoarticularity?

Lewis, MGC ORCID logoORCID: https://orcid.org/0000-0001-5918-3444, King, MA, Yeadon, MR and Conceição, F, 2012. Are joint torque models limited by an assumption of monoarticularity? Journal of Applied Biomechanics, 28 (5), pp. 520-529. ISSN 1065-8483

[thumbnail of 212995_8383 Lewis Publisher PID212995.pdf]
Preview
Text
212995_8383 Lewis Publisher PID212995.pdf

Download (6MB) | Preview

Abstract

This study determines whether maximal voluntary ankle plantar flexor torque could be more accurately represented using a torque generator that is a function of both knee and ankle kinematics. Iso velocity and isometric ankle plantar flexor torques were measured on a single participant for knee joint angles of 111° to 169° (approximately full extension) using a Contrex M J dynamometer. Maximal voluntary torque was represented by a 19-parameter two-joint function of ankle and knee joint angles and angular velocities with the parameters determined by minimizing a weighted root mean square difference between measured torques and the two-joint function. The weighted root mean square difference between the two-joint function and the measured torques was 10 N-m or 3% of maximum torque. The two-joint function was a more accurate representation of maximal voluntary ankle plantar flexor torques than an existing single-joint function where differences of 19% of maximum torque were found. It is concluded that when the knee is flexed by more than 40°, a two-joint representation is necessary.

Item Type: Journal article
Publication Title: Journal of Applied Biomechanics
Creators: Lewis, M.G.C., King, M.A., Yeadon, M.R. and Conceição, F.
Publisher: Human Kinetics Inc.
Date: 2012
Volume: 28
Number: 5
ISSN: 1065-8483
Divisions: Schools > School of Science and Technology
Record created by: EPrints Services
Date Added: 09 Oct 2015 10:35
Last Modified: 25 Feb 2019 15:58
URI: https://irep.ntu.ac.uk/id/eprint/15246

Actions (login required)

Edit View Edit View

Statistics

Views

Views per month over past year

Downloads

Downloads per month over past year