Literature DB >> 32807329

Instrumented immobilizing boot paradigm quantifies reduced Achilles tendon loading during gait.

Todd J Hullfish1, Kathryn M O'Connor1, Josh R Baxter2.   

Abstract

Achilles tendon ruptures are common injuries that lead to functional deficits in two-thirds of patients. Progressively loading the healing tendon has been associated with superior outcomes, but the loading profiles that patients experience throughout rehabilitation have not yet been established. In this study, we developed and calibrated an instrumented immobilizing boot paradigm that is aimed at longitudinally quantifying patient loading biomechanics to develop personalized rehabilitation protocols. We used a 3-part instrumented insole to quantify the ankle loads generated by the Achilles tendon and secured a load cell inline with the posterior strut of the immobilizing boot to quantify boot loading. We then collected gait data from five healthy young adults to demonstrate the validity of this instrumented immobilizing boot paradigm to assess Achilles tendon loading during ambulation. We developed a simple calibration procedure to improve the measurement fidelity of the instrumented insole needed to quantify Achilles tendon loading while ambulating with an immobilizing boot. By assessing Achilles tendon loading with the ankle constrained to 0 degrees and 30 degrees plantar flexion, we confirmed that walking with the foot supported in plantar flexion decreased Achilles tendon loading by 60% (P < 0.001). This instrumented immobilizing boot paradigm leverages commercially available sensors and logs data using a small microcontroller secured to the boot and a handheld device, making our paradigm capable of continuously monitoring biomechanical loading outside of the lab or clinic.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomechanics; Gait; Insole; Personalized medicine; Plantar flexor; Rupture

Mesh:

Year:  2020        PMID: 32807329     DOI: 10.1016/j.jbiomech.2020.109925

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  1 in total

1.  Experimental recommendations for estimating lower extremity loading based on joint and activity.

Authors:  Todd J Hullfish; John F Drazan; Josh R Baxter
Journal:  J Biomech       Date:  2021-08-24       Impact factor: 2.789

  1 in total

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