An ankle joint model-based image-matching motion analysis technique

Kam-Ming MOK*, Daniel Tik-Pui FONG*, Tron KROSSHAUG, Aaron See-Long HUNG, Patrick Shu-Hang YUNG, Kai-Ming CHAN

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

15 Citations (Scopus)

Abstract

This study presented a model-based image-matching (MBIM) motion analysis technique for ankle joint kinematic measurement. Five cadaveric below-hip specimens were manipulated through a full range of ankle joint motions in bare-foot and shoed conditions. The ankle motions were analyzed by bone-pin marker-based motion analysis and MBIM motion analysis techniques respectively. The root mean square errors of all angles of motion were less than 3°. The average Intraclass Correlation Coefficients (ICCs) for the intra-rater reliability were greater than 0.928 and the average ICCs for the inter-rater reliability were greater than 0.948 for all angles of motion. Excellent validity, intra-rater reliability and inter-rater reliability were achieved for the MBIM technique in both bare-foot and shoed conditions. The MBIM technique can therefore provide good estimates of ankle joint kinematics.
Original languageEnglish
Pages (from-to)71-75
Number of pages5
JournalGait and Posture
Volume34
Issue number1
Early online date8 Apr 2011
DOIs
Publication statusPublished - May 2011
Externally publishedYes

Keywords

  • Video analysis
  • Ankle joint motion
  • Injury biomechanics

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