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

Mechanical Engineering

Universität Innsbruck
Cleveland State University
Private Universitat fur Gesundheitswissenschaften, Medizinische Informatik und Technik

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

3 Scopus citations

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	English
Pages (from-to)	612-622
Number of pages	11
Journal	Computer Methods in Biomechanics and Biomedical Engineering
Volume	24
Issue number	6
DOIs	https://doi.org/10.1080/10255842.2020.1842376
State	Published - Jan 1 2020

Keywords

ACL injuries
muscle activation
musculoskeletal simulation
optimal control

Access to Document

10.1080/10255842.2020.1842376

Cite this

@article{9608fcec21b9465c801acefe244d79c5,

title = "A model-based approach to predict neuromuscular control patterns that minimize ACL forces during jump landing",

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.",

keywords = "ACL injuries, muscle activation, musculoskeletal simulation, optimal control",

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

year = "2020",

month = jan,

day = "1",

doi = "10.1080/10255842.2020.1842376",

language = "English",

volume = "24",

pages = "612--622",

journal = "Computer Methods in Biomechanics and Biomedical Engineering",

issn = "1025-5842",

publisher = "Taylor and Francis [email protected]",

number = "6",

}

TY - JOUR

T1 - A model-based approach to predict neuromuscular control patterns that minimize ACL forces during jump landing

AU - Heinrich, Dieter

AU - van den Bogert, Antonie J

AU - Csapo, Robert

AU - Nachbauer, Werner

PY - 2020/1/1

Y1 - 2020/1/1

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

KW - muscle activation

KW - musculoskeletal simulation

KW - optimal control

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85096137205&origin=inward

UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85096137205&origin=inward

U2 - 10.1080/10255842.2020.1842376

DO - 10.1080/10255842.2020.1842376

M3 - Article

C2 - 33185129

SN - 1025-5842

VL - 24

SP - 612

EP - 622

JO - Computer Methods in Biomechanics and Biomedical Engineering

JF - Computer Methods in Biomechanics and Biomedical Engineering

IS - 6

ER -

A model-based approach to predict neuromuscular control patterns that minimize ACL forces during jump landing

Abstract

Keywords

Access to Document

Other files and links

Cite this