Detection of knee wobbling as a screen to identify athletes who may be at high risk for ACL injury

This study developed a method to detect knee wobbling (KW) at low knee flexion. KW consists of quick uncontrollable medio-lateral knee movements without knee flexion, which may indicate a risk of ACL injury. Ten female athletes were recorded while performing slow, single-leg squats. Using motion cap...

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Autores principales:	Akino Aoki, Satoshi Kubota, Kosuke Morinaga, Naiquan Nigel Zheng, Shangcheng Sam Wang, Kazuyoshi Gamada
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	single-leg squat knee kinematics knee wobbling Biotechnology TP248.13-248.65 Physiology QP1-981
Acceso en línea:	https://doaj.org/article/331da29f3748436f948153b816b3a266
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spelling	oai:doaj.org-article:331da29f3748436f948153b816b3a2662021-11-17T14:22:00ZDetection of knee wobbling as a screen to identify athletes who may be at high risk for ACL injury2333-543210.1080/23335432.2021.1936175https://doaj.org/article/331da29f3748436f948153b816b3a2662021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23335432.2021.1936175https://doaj.org/toc/2333-5432This study developed a method to detect knee wobbling (KW) at low knee flexion. KW consists of quick uncontrollable medio-lateral knee movements without knee flexion, which may indicate a risk of ACL injury. Ten female athletes were recorded while performing slow, single-leg squats. Using motion capture data, the ratio of the frontal angular velocity to sagittal angular velocity (F/S) was calculated. An ‘F/S spike’ was defined when the F/S ratio exceeded 100%. The number of F/S spikes was counted before and after low-pass filtering at different cut-off frequencies. Intraclass correlation coefficients for KW and filtered F/S spike were analysed. KWs per squat cycle showed a median (range) of 3 (2–8) times. F/S spikes before and after low-pass filtering at 3-, 6-, 10-, and 15-Hz were 51 (12–108), 2 (0–6), 3 (1–12), 5 (2–21), and 9 (3–33) times, respectively. KWs and F/S spikes on motion capture with 6-Hz, low-pass filtering were well correlated (r = 0 .76). Median percentages of valgus and varus F/S spikes were 71% and 29%, respectively. After 6Hz, low-pass filtering, the number of F/S spikes was strongly correlated with observed KWs. An F/S spike assessment may be used to objectively detect KW, including flexion and varus/valgus angular velocity.Akino AokiSatoshi KubotaKosuke MorinagaNaiquan Nigel ZhengShangcheng Sam WangKazuyoshi GamadaTaylor & Francis Grouparticlesingle-leg squatknee kinematicsknee wobblingBiotechnologyTP248.13-248.65PhysiologyQP1-981ENInternational Biomechanics, Vol 8, Iss 1, Pp 30-41 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	single-leg squat knee kinematics knee wobbling Biotechnology TP248.13-248.65 Physiology QP1-981
spellingShingle	single-leg squat knee kinematics knee wobbling Biotechnology TP248.13-248.65 Physiology QP1-981 Akino Aoki Satoshi Kubota Kosuke Morinaga Naiquan Nigel Zheng Shangcheng Sam Wang Kazuyoshi Gamada Detection of knee wobbling as a screen to identify athletes who may be at high risk for ACL injury
description	This study developed a method to detect knee wobbling (KW) at low knee flexion. KW consists of quick uncontrollable medio-lateral knee movements without knee flexion, which may indicate a risk of ACL injury. Ten female athletes were recorded while performing slow, single-leg squats. Using motion capture data, the ratio of the frontal angular velocity to sagittal angular velocity (F/S) was calculated. An ‘F/S spike’ was defined when the F/S ratio exceeded 100%. The number of F/S spikes was counted before and after low-pass filtering at different cut-off frequencies. Intraclass correlation coefficients for KW and filtered F/S spike were analysed. KWs per squat cycle showed a median (range) of 3 (2–8) times. F/S spikes before and after low-pass filtering at 3-, 6-, 10-, and 15-Hz were 51 (12–108), 2 (0–6), 3 (1–12), 5 (2–21), and 9 (3–33) times, respectively. KWs and F/S spikes on motion capture with 6-Hz, low-pass filtering were well correlated (r = 0 .76). Median percentages of valgus and varus F/S spikes were 71% and 29%, respectively. After 6Hz, low-pass filtering, the number of F/S spikes was strongly correlated with observed KWs. An F/S spike assessment may be used to objectively detect KW, including flexion and varus/valgus angular velocity.
format	article
author	Akino Aoki Satoshi Kubota Kosuke Morinaga Naiquan Nigel Zheng Shangcheng Sam Wang Kazuyoshi Gamada
author_facet	Akino Aoki Satoshi Kubota Kosuke Morinaga Naiquan Nigel Zheng Shangcheng Sam Wang Kazuyoshi Gamada
author_sort	Akino Aoki
title	Detection of knee wobbling as a screen to identify athletes who may be at high risk for ACL injury
title_short	Detection of knee wobbling as a screen to identify athletes who may be at high risk for ACL injury
title_full	Detection of knee wobbling as a screen to identify athletes who may be at high risk for ACL injury
title_fullStr	Detection of knee wobbling as a screen to identify athletes who may be at high risk for ACL injury
title_full_unstemmed	Detection of knee wobbling as a screen to identify athletes who may be at high risk for ACL injury
title_sort	detection of knee wobbling as a screen to identify athletes who may be at high risk for acl injury
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/331da29f3748436f948153b816b3a266
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Detection of knee wobbling as a screen to identify athletes who may be at high risk for ACL injury

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