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A novel magnet based 3D printed marker wand as basis for repeated in‐shoe multi segment foot analysis: a proof of concept

Overview of attention for article published in Journal of Foot and Ankle Research, August 2017
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Title
A novel magnet based 3D printed marker wand as basis for repeated in‐shoe multi segment foot analysis: a proof of concept
Published in
Journal of Foot and Ankle Research, August 2017
DOI 10.1186/s13047-017-0220-7
Pubmed ID
Authors

Maarten Eerdekens, Filip Staes, Thomas Pilkington, Kevin Deschamps

Abstract

Application of in-shoe multi-segment foot kinematic analyses currently faces a number of challenges, including: (i) the difficulty to apply regular markers onto the skin, (ii) the necessity for an adequate shoe which fits various foot morphologies and (iii) the need for adequate repeatability throughout a repeated measure condition. The aim of this study therefore was to design novel magnet based 3D printed markers for repeated in-shoe measurements while using accordingly adapted modified shoes for a specific multi-segment foot model. Multi-segment foot kinematics of ten participants were recorded and kinematics of hindfoot, midfoot and forefoot were calculated. Dynamic trials were conducted to check for intra and inter-session repeatability when combining novel markers and modified shoes in a repeated measures design. Intraclass correlation coefficients were calculated to determine reliability. Both repeatability and reliability were proven to be good to excellent with maximum joint angle deviations of 1.11° for intra-session variability and 1.29° for same-day inter-session variability respectively and ICC values of >0.91. The novel markers can be reliably used in future research settings using in-shoe multi-segment foot kinematic analyses with multiple shod conditions.

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Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 19%
Student > Bachelor 6 16%
Student > Ph. D. Student 5 14%
Student > Doctoral Student 2 5%
Professor 1 3%
Other 3 8%
Unknown 13 35%
Readers by discipline Count As %
Medicine and Dentistry 6 16%
Engineering 6 16%
Nursing and Health Professions 4 11%
Sports and Recreations 3 8%
Materials Science 1 3%
Other 0 0%
Unknown 17 46%