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Manual and semi-automatic determination of elbow angle-independent parameters for a model of the biceps brachii distal tendon based on ultrasonic imaging

M. Mechtenberg, N. Grimmelsmann, H.G. Meyer, A. Schneider, PLOS ONE 17 (2022).

Artikel | Veröffentlicht | Englisch
Abstract
Tendons consist of passive soft tissue with non linear material properties. They play a key role in force transmission from muscle to skeletal structure. The properties of tendons have been extensively examined in vitro . In this work, a non linear model of the distal biceps brachii tendon was parameterized based on measurements of myotendinous junction displacements in vivo at different load forces and elbow angles. The myotendinous junction displacement was extracted from ultrasound B-mode images within an experimental setup which also allowed for the retrieval of the exerted load forces as well as the elbow joint angles. To quantify the myotendinous junction movement based on visual features from ultrasound images, a manual and an automatic method were developed. The performance of both methods was compared. By means of exemplary data from three subjects, reliable fits of the tendon model were achieved. Further, different aspects of the non linear tendon model generated in this way could be reconciled with individual experiments from literature.
Erscheinungsjahr
Zeitschriftentitel
PLOS ONE
Band
17
Zeitschriftennummer
10
Artikelnummer
e0275128
eISSN
FH-PUB-ID

Zitieren

Mechtenberg, Malte ; Grimmelsmann, Nils ; Meyer, Hanno Gerd ; Schneider, Axel: Manual and semi-automatic determination of elbow angle-independent parameters for a model of the biceps brachii distal tendon based on ultrasonic imaging. In: PLOS ONE Bd. 17, Public Library of Science (PLoS) (2022), Nr. 10
Mechtenberg M, Grimmelsmann N, Meyer HG, Schneider A. Manual and semi-automatic determination of elbow angle-independent parameters for a model of the biceps brachii distal tendon based on ultrasonic imaging. PLOS ONE. 2022;17(10). doi:10.1371/journal.pone.0275128
Mechtenberg, M., Grimmelsmann, N., Meyer, H. G., & Schneider, A. (2022). Manual and semi-automatic determination of elbow angle-independent parameters for a model of the biceps brachii distal tendon based on ultrasonic imaging. PLOS ONE, 17(10). https://doi.org/10.1371/journal.pone.0275128
@article{Mechtenberg_Grimmelsmann_Meyer_Schneider_2022, title={Manual and semi-automatic determination of elbow angle-independent parameters for a model of the biceps brachii distal tendon based on ultrasonic imaging}, volume={17}, DOI={10.1371/journal.pone.0275128}, number={10e0275128}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Mechtenberg, Malte and Grimmelsmann, Nils and Meyer, Hanno Gerd and Schneider, Axel}, year={2022} }
Mechtenberg, Malte, Nils Grimmelsmann, Hanno Gerd Meyer, and Axel Schneider. “Manual and Semi-Automatic Determination of Elbow Angle-Independent Parameters for a Model of the Biceps Brachii Distal Tendon Based on Ultrasonic Imaging.” PLOS ONE 17, no. 10 (2022). https://doi.org/10.1371/journal.pone.0275128.
M. Mechtenberg, N. Grimmelsmann, H. G. Meyer, and A. Schneider, “Manual and semi-automatic determination of elbow angle-independent parameters for a model of the biceps brachii distal tendon based on ultrasonic imaging,” PLOS ONE, vol. 17, no. 10, 2022.
Mechtenberg, Malte, et al. “Manual and Semi-Automatic Determination of Elbow Angle-Independent Parameters for a Model of the Biceps Brachii Distal Tendon Based on Ultrasonic Imaging.” PLOS ONE, vol. 17, no. 10, e0275128, Public Library of Science (PLoS), 2022, doi:10.1371/journal.pone.0275128.
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