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Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
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Foot-surface-structure analysis using a smartphone-based 3D foot scanner.

Tomoko Yamashita1, Kazuhiko Yamashita2, Mitsuru Sato3

  • 1Graduate School of Engineering, Osaka City University, 3-3-138 Sugimoto, Sumiyoshi-ku, Osaka 558-8585, Japan.

Medical Engineering & Physics
|September 4, 2021
PubMed
Summary
This summary is machine-generated.

A smartphone-based 3D foot scanner helps assess hallux valgus (HV) risk by analyzing foot structure. This system reveals age-related changes in foot features, particularly in females, correlating with increased HV risk.

Keywords:
Foot 3D scannerHallux valgusSmartphone

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Area of Science:

  • Biomechanical analysis
  • Orthopedic research
  • Medical imaging technology

Background:

  • Understanding foot skeletal structure is crucial for hallux valgus (HV) prevention.
  • Existing methods may lack accessibility for widespread HV risk assessment.

Purpose of the Study:

  • To develop and validate a smartphone-based 3D foot scanning system for assessing hallux valgus (HV) risk.
  • To investigate the relationship between specific foot features and HV risk.

Main Methods:

  • A 3D foot-feature model was constructed from 2D video images captured on a smartphone.
  • The study analyzed 10 foot features in 419 participants (aged 40-89) using standardized standing posture.
  • Body mass index was calculated from measured height and weight.

Main Results:

  • Distinct age-dependent variations in foot features were observed, especially in females, with an increasing great toe-first metatarsal head-heel (GFH) angle associated with age.
  • Multiple regression analysis identified the second toe-heel-navicular angle, bone distance axis, and transverse arch dimensions as key determinants of the GFH angle.
  • High adjusted coefficients of determination (0.54 for males, 0.52 for females) indicate significant predictive power.

Conclusions:

  • The developed smartphone-based system offers a simple and effective method for foot structure assessment.
  • This approach facilitates early evaluation of hallux valgus (HV) risk.