Predicting kinetics using musculoskeletal modeling and inertial motion capture

Angelos Karatsidis; Moonki Jung; H. Martin Schepers; Giovanni Bellusci; Mark de Zee; Peter H. Veltink; Michael Skipper  Andersen

Predicting kinetics using musculoskeletal modeling and inertial motion capture

Angelos Karatsidis, Moonki Jung, H. Martin Schepers, Giovanni Bellusci, Mark de Zee, Peter H. Veltink, Michael Skipper Andersen

Research output: Contribution to journal › Article › Academic

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Abstract

Inverse dynamic analysis using musculoskeletal modeling is a powerful tool, which is utilized in a range of applications to estimate forces in ligaments, muscles, and joints, non-invasively. To date, the conventional input used in this analysis is derived from optical motion capture (OMC) and force plate (FP) systems, which restrict the application of musculoskeletal models to gait laboratories. To address this problem, we propose a musculoskeletal model, capable of estimating the internal forces based solely on inertial motion capture (IMC) input and a ground reaction force and moment (GRF===========

Original language	English
Journal	arXiv.org
Publication status	Published - 5 Jan 2018

Keywords

physics.med-ph

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1801.01668v1Final published version, 1.82 MB

https://arxiv.org/abs/1801.01668

1 PhD Thesis - Research UT, graduation UT

Kinetic Gait Analysis Using Inertial Motion Capture: New Tools For Knee Osteoarthritis
Karatsidis, A., 14 Sept 2018, Enschede: University of Twente. 144 p.
Research output: Thesis › PhD Thesis - Research UT, graduation UT

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title = "Predicting kinetics using musculoskeletal modeling and inertial motion capture",

abstract = "Inverse dynamic analysis using musculoskeletal modeling is a powerful tool, which is utilized in a range of applications to estimate forces in ligaments, muscles, and joints, non-invasively. To date, the conventional input used in this analysis is derived from optical motion capture (OMC) and force plate (FP) systems, which restrict the application of musculoskeletal models to gait laboratories. To address this problem, we propose a musculoskeletal model, capable of estimating the internal forces based solely on inertial motion capture (IMC) input and a ground reaction force and moment (GRF===========",

keywords = "physics.med-ph",

author = "Angelos Karatsidis and Moonki Jung and Schepers, {H. Martin} and Giovanni Bellusci and {de Zee}, Mark and Veltink, {Peter H.} and Andersen, {Michael Skipper}",

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T1 - Predicting kinetics using musculoskeletal modeling and inertial motion capture

AU - Karatsidis, Angelos

AU - Jung, Moonki

AU - Schepers, H. Martin

AU - Bellusci, Giovanni

AU - de Zee, Mark

AU - Veltink, Peter H.

AU - Andersen, Michael Skipper

N1 - 19 pages, 4 figures, 3 tables

PY - 2018/1/5

Y1 - 2018/1/5

N2 - Inverse dynamic analysis using musculoskeletal modeling is a powerful tool, which is utilized in a range of applications to estimate forces in ligaments, muscles, and joints, non-invasively. To date, the conventional input used in this analysis is derived from optical motion capture (OMC) and force plate (FP) systems, which restrict the application of musculoskeletal models to gait laboratories. To address this problem, we propose a musculoskeletal model, capable of estimating the internal forces based solely on inertial motion capture (IMC) input and a ground reaction force and moment (GRF===========

AB - Inverse dynamic analysis using musculoskeletal modeling is a powerful tool, which is utilized in a range of applications to estimate forces in ligaments, muscles, and joints, non-invasively. To date, the conventional input used in this analysis is derived from optical motion capture (OMC) and force plate (FP) systems, which restrict the application of musculoskeletal models to gait laboratories. To address this problem, we propose a musculoskeletal model, capable of estimating the internal forces based solely on inertial motion capture (IMC) input and a ground reaction force and moment (GRF===========

KW - physics.med-ph

M3 - Article

JO - arXiv.org

JF - arXiv.org

ER -

Predicting kinetics using musculoskeletal modeling and inertial motion capture

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Research output

Kinetic Gait Analysis Using Inertial Motion Capture: New Tools For Knee Osteoarthritis

Cite this