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

نویسندگان

  • Kam-Ming Mok
  • Daniel Tik-Pui Fong
  • Tron Krosshaug
  • Aaron See-Long Hung
  • Patrick Shu-Hang Yung
  • Kai-Ming Chan
چکیده

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.

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عنوان ژورنال:
  • Gait & posture

دوره 34 1  شماره 

صفحات  -

تاریخ انتشار 2011