A wireless buckle transducer for measurement of human forearm tendon tension:operational principles and finite element study

Abstract

Introduction: Conventional methods for evaluating the management of spasticity, a complex neuromuscular disorder, typically fail to directly measure the muscle forces and loads applied through tendons, which is crucial for accurate diagnostics and treatment. To bridge this gap, we developed a novel modular buckle transducer (BT) designed to measure tendon forces in vivo. This device adjusts to accommodate tendon sizes ranging from 3 mm to 5 mm, maintaining accuracy within this range and avoiding the need for identical tendon calibration.Methods: This study first presents the mechanical principles for determining tendon tension T using several strain gauges appropriately positioned to allow for varying angles of passage of the tendon through the device. Next, we present a finite element (FE) model that uses multiple linear regression to determine T while varying tendon diameter and lateral placement within the device for several candidate strain gauge locations on the device base plate. Finally, we posit several alternative ways of combining gauge strains.Results: Initial simulation results demonstrated that this placement facilitates effective pre-implementation calibration, with the device accommodating tendon variations from 3 mm to 5 mm in diameter for a range of gauge placements.Discussion: Future validation of this technology will involve direct testing on explanted human/equine tendons to verify the practical utility of the BT, aiming to establish a new standard for assessing and managing neuromuscular disorders such as spasticity.

Publication DOI: https://doi.org/10.3389/fbioe.2024.1278740
Divisions: College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Applied AI & Robotics
College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies
Aston University (General)
Funding Information: We would like to thank Professor Rui Loureiro and Dr. Tom Quick for their support of this study (under the RESPONSS project: Rehabilitation Technologies Supporting Clinical and Self-management of Spasticity - Grant number: 538267, funded by the Leslie Fou
Additional Information: Copyright © 2024 Rastegarpanah and Taylor. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Uncontrolled Keywords: buckle transducer,tendon,calibration,regression,finite element analysis
Publication ISSN: 2296-4185
Last Modified: 01 Sep 2025 07:39
Date Deposited: 29 Aug 2025 16:22
Full Text Link:
Related URLs: https://www.fro ... 24.1278740/full (Publisher URL)
PURE Output Type: Article
Published Date: 2024-11-27
Accepted Date: 2024-09-25
Authors: Rastegarpanah, Alireza (ORCID Profile 0000-0003-4264-6857)
Taylor, Stephen J. G.

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License: Creative Commons Attribution


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