A Model-Based Approach To Predict Neuromuscular Control Patterns That Minimize ACL Forces During Jump Landing

Dieter Heinrich; Antonie J van den Bogert; Robert Csapo; Werner Nachbauer

doi:10.1080/10255842.2020.1842376

A Model-Based Approach To Predict Neuromuscular Control Patterns That Minimize ACL Forces During Jump Landing

Dieter Heinrich
, Antonie J van den Bogert
, Robert Csapo
, Werner Nachbauer

University of Innsbruck
University for Health Sciences, Medical Informatics and Technology

Research output: Contribution to journal › Article › peer-review

Abstract

Jump landing is a common situation leading to knee injuries involving the anterior cruciate ligament (ACL) in sports. Although neuromuscular control is considered as a key injury risk factor, there is a lack of knowledge regarding optimum control strategies that reduce ACL forces during jump landing. In the present study, a musculoskeletal model-based computational approach
is presented that allows identifying neuromuscular control patterns that minimize ACL forces during jump landing. The approach is demonstrated for a jump landing maneuver in downhill skiing, which is one out of three main injury mechanisms in competitive skiing.

Original language	American English
Journal	Computer Methods in Biomechanics and Biomedical Engineering
Volume	24
DOIs	https://doi.org/10.1080/10255842.2020.1842376
State	Published - May 1 2021

Keywords

ACL injuries; musculoskeletal simulation; optimal control; muscle activation

Disciplines

Biomechanical Engineering

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10.1080/10255842.2020.1842376License: CC BY

A Model-Based Approach To Predict Neuromuscular Control PatternsFinal published version, 2.46 MBLicense: CC BY

Cite this

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abstract = " Jump landing is a common situation leading to knee injuries involving the anterior cruciate ligament (ACL) in sports. Although neuromuscular control is considered as a key injury risk factor, there is a lack of knowledge regarding optimum control strategies that reduce ACL forces during jump landing. In the present study, a musculoskeletal model-based computational approach is presented that allows identifying neuromuscular control patterns that minimize ACL forces during jump landing. The approach is demonstrated for a jump landing maneuver in downhill skiing, which is one out of three main injury mechanisms in competitive skiing.",

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author = "Dieter Heinrich and \{van den Bogert\}, \{Antonie J\} and Robert Csapo and Werner Nachbauer",

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language = "American English",

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AU - Heinrich, Dieter

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AU - Csapo, Robert

AU - Nachbauer, Werner

PY - 2021/5/1

Y1 - 2021/5/1

N2 - Jump landing is a common situation leading to knee injuries involving the anterior cruciate ligament (ACL) in sports. Although neuromuscular control is considered as a key injury risk factor, there is a lack of knowledge regarding optimum control strategies that reduce ACL forces during jump landing. In the present study, a musculoskeletal model-based computational approach is presented that allows identifying neuromuscular control patterns that minimize ACL forces during jump landing. The approach is demonstrated for a jump landing maneuver in downhill skiing, which is one out of three main injury mechanisms in competitive skiing.

AB - Jump landing is a common situation leading to knee injuries involving the anterior cruciate ligament (ACL) in sports. Although neuromuscular control is considered as a key injury risk factor, there is a lack of knowledge regarding optimum control strategies that reduce ACL forces during jump landing. In the present study, a musculoskeletal model-based computational approach is presented that allows identifying neuromuscular control patterns that minimize ACL forces during jump landing. The approach is demonstrated for a jump landing maneuver in downhill skiing, which is one out of three main injury mechanisms in competitive skiing.

KW - ACL injuries; musculoskeletal simulation; optimal control; muscle activation

UR - https://engagedscholarship.csuohio.edu/enme_facpub/409

U2 - 10.1080/10255842.2020.1842376

DO - 10.1080/10255842.2020.1842376

M3 - Article

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JO - Computer Methods in Biomechanics and Biomedical Engineering

JF - Computer Methods in Biomechanics and Biomedical Engineering

ER -

A Model-Based Approach To Predict Neuromuscular Control Patterns That Minimize ACL Forces During Jump Landing

Abstract

Keywords

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