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

doi:10.1016/j.gaitpost.2011.03.014

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 Publications › Journal Article (refereed) › peer-review

21 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 language	English
Pages (from-to)	71-75
Number of pages	5
Journal	Gait and Posture
Volume	34
Issue number	1
Early online date	8 Apr 2011
DOIs	https://doi.org/10.1016/j.gaitpost.2011.03.014
Publication status	Published - May 2011
Externally published	Yes

Keywords

Video analysis
Ankle joint motion
Injury biomechanics

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10.1016/j.gaitpost.2011.03.014

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title = "An ankle joint model-based image-matching motion analysis technique",

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.",

keywords = "Video analysis, Ankle joint motion, Injury biomechanics",

author = "Kam-Ming MOK and FONG, {Daniel Tik-Pui} and Tron KROSSHAUG and HUNG, {Aaron See-Long} and YUNG, {Patrick Shu-Hang} and Kai-Ming CHAN",

year = "2011",

month = may,

doi = "10.1016/j.gaitpost.2011.03.014",

language = "English",

volume = "34",

pages = "71--75",

journal = "Gait and Posture",

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T1 - An ankle joint model-based image-matching motion analysis technique

AU - MOK, Kam-Ming

AU - FONG, Daniel Tik-Pui

AU - KROSSHAUG, Tron

AU - HUNG, Aaron See-Long

AU - YUNG, Patrick Shu-Hang

AU - CHAN, Kai-Ming

PY - 2011/5

Y1 - 2011/5

N2 - 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.

AB - 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.

KW - Video analysis

KW - Ankle joint motion

KW - Injury biomechanics

UR - https://www.sciencedirect.com/science/article/abs/pii/S0966636211000919

UR - http://www.scopus.com/inward/record.url?scp=79957514648&partnerID=8YFLogxK

U2 - 10.1016/j.gaitpost.2011.03.014

DO - 10.1016/j.gaitpost.2011.03.014

M3 - Journal Article (refereed)

SN - 0966-6362

VL - 34

SP - 71

EP - 75

JO - Gait and Posture

JF - Gait and Posture

IS - 1

ER -

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

Abstract

Keywords

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