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

Funding

This research project was made possible by resources donated by The Hong Kong Jockey Club Charities Trust.

Keywords

Video analysis
Ankle joint motion
Injury biomechanics

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10.1016/j.gaitpost.2011.03.014

Cite this

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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",

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journal = "Gait and Posture",

issn = "0966-6362",

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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

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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

Funding

Keywords

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