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 journalArticleAcademic

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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 languageEnglish
JournalArxiv.org
Publication statusPublished - 5 Jan 2018

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Kinetics
Ligaments
Dynamic analysis
Muscle

Keywords

  • physics.med-ph

Cite this

Karatsidis, A., Jung, M., Schepers, H. M., Bellusci, G., de Zee, M., Veltink, P. H., & Andersen, M. S. (2018). Predicting kinetics using musculoskeletal modeling and inertial motion capture. Arxiv.org.
Karatsidis, Angelos ; Jung, Moonki ; Schepers, H. Martin ; Bellusci, Giovanni ; de Zee, Mark ; Veltink, Peter H. ; Andersen, Michael Skipper . / Predicting kinetics using musculoskeletal modeling and inertial motion capture. In: Arxiv.org. 2018.
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Karatsidis, A, Jung, M, Schepers, HM, Bellusci, G, de Zee, M, Veltink, PH & Andersen, MS 2018, 'Predicting kinetics using musculoskeletal modeling and inertial motion capture' Arxiv.org.

Predicting kinetics using musculoskeletal modeling and inertial motion capture. / Karatsidis, Angelos; Jung, Moonki; Schepers, H. Martin; Bellusci, Giovanni; de Zee, Mark; Veltink, Peter H.; Andersen, Michael Skipper .

In: Arxiv.org, 05.01.2018.

Research output: Contribution to journalArticleAcademic

TY - JOUR

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

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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 -

Karatsidis A, Jung M, Schepers HM, Bellusci G, de Zee M, Veltink PH et al. Predicting kinetics using musculoskeletal modeling and inertial motion capture. Arxiv.org. 2018 Jan 5.