Musculoskeletal model-based inverse dynamic analysis under ambulatory conditions using inertial motion capture

Angelos Karatsidis* (Corresponding Author), Moonki Jung, H. Martin Schepers, Giovanni Bellusci, Mark de Zee, Peter H. Veltink, Michael Skipper Andersen

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    3 Citations (Scopus)
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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 the use of inertial motion capture to perform musculoskeletal model-based inverse dynamics by utilizing a universally applicable ground reaction force and moment (GRF&M) prediction method. Validation against a conventional laboratory-based method showed excellent Pearson correlations for sagittal plane joint angles of ankle, knee, and hip (ρ=0.95, 0.99, and 0.99, respectively) and root-mean-squared-differences (RMSD) of 4.1 ± 1.3° 4.4 ± 2.0° and 5.7 ± 2.1° respectively. The GRF&M predicted using IMC input were found to have excellent correlations for three components (vertical: ρ=0.97, RMSD = 9.3 ± 3.0 %BW, anteroposterior: ρ=0.91, RMSD = 5.5 ± 1.2 %BW, sagittal: ρ=0.91, RMSD = 1.6 ± 0.6 %BW*BH), and strong correlations for mediolateral (ρ=0.80, RMSD = 2.1 ± 0.6 %BW) and transverse (ρ=0.82, RMSD = 0.2 ± 0.1 %BW*BH). The proposed IMC-based method removes the complexity and space restrictions of OMC and FP systems and could enable applications of musculoskeletal models in either monitoring patients during their daily lives or in wider clinical practice.

    Original languageEnglish
    Pages (from-to)68-77
    Number of pages10
    JournalMedical Engineering and Physics
    Volume65
    Issue numberMarch
    Early online date5 Feb 2019
    DOIs
    Publication statusPublished - Mar 2019

    Fingerprint

    Dynamic analysis
    Patient monitoring
    Ankle Joint
    Ligaments
    Physiologic Monitoring
    Gait
    Muscle
    Hip
    Knee
    Joints
    Muscles

    Keywords

    • Gait analysis
    • Ground reaction forces and moments
    • Inertial motion capture
    • Inverse dynamics
    • Musculoskeletal modeling

    Cite this

    Karatsidis, Angelos ; Jung, Moonki ; Schepers, H. Martin ; Bellusci, Giovanni ; de Zee, Mark ; Veltink, Peter H. ; Andersen, Michael Skipper. / Musculoskeletal model-based inverse dynamic analysis under ambulatory conditions using inertial motion capture. In: Medical Engineering and Physics. 2019 ; Vol. 65, No. March. pp. 68-77.
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    Musculoskeletal model-based inverse dynamic analysis under ambulatory conditions using inertial motion capture. / Karatsidis, Angelos (Corresponding Author); Jung, Moonki; Schepers, H. Martin; Bellusci, Giovanni; de Zee, Mark; Veltink, Peter H.; Andersen, Michael Skipper.

    In: Medical Engineering and Physics, Vol. 65, No. March, 03.2019, p. 68-77.

    Research output: Contribution to journalArticleAcademicpeer-review

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    AU - Karatsidis, Angelos

    AU - Jung, Moonki

    AU - Schepers, H. Martin

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