Non-linear scaling of a musculoskeletal model of the lower limb using statistical shape models-Reference-Cited by-同舟云学术

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Non-linear scaling of a musculoskeletal model of the lower limb using statistical shape models

Published:2016-10 Issue:14 Volume:49 Page:3576-3581
ISSN:0021-9290
Container-title:Journal of Biomechanics
language:en
Short-container-title:Journal of Biomechanics

Author:

Nolte Daniel,Tsang Chui Kit,Zhang Kai Yu,Ding Ziyun,Kedgley Angela E.,Bull Anthony M.J.

Funder

Imperial College London Engineering and Physical Sciences Research Council (EPSRC) Impact Acceleration Account Pathways to Impact Award

Imperial College London Junior Research Fellowship Scheme

Medical Engineering Solutions in Osteoarthritis Centre of Excellence at Imperial College London

Wellcome Trust and the EPSRC

Publisher

Elsevier BV

Subject

Rehabilitation,Biomedical Engineering,Orthopedics and Sports Medicine,Biophysics

Reference21 articles.

1. 2D-3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models;Baka;Med. Image Anal.,2011

2. Lower-extremity musculoskeletal geometry affects the calculation of patellofemoral forces in vertical jumping and weightlifting;Cleather;Proc. Inst. Mech. Eng. H,2010

3. Accuracy of generic musculoskeletal models in predicting the functional roles of muscles in human gait;Correa;J. Biomech.,2011

4. A mass-length scaling law for modeling muscle strength in the lower limb;Correa;J. Biomech.,2011

5. In vivo knee contact force prediction using patient-specific musculoskeletal geometry in a segment-based computational model;Ding;J. Biomech. Eng.,2016

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2. 3D Gait Analysis in Children Using Wearable Sensors: Feasibility of Predicting Joint Kinematics and Kinetics with Personalized Machine Learning Models and Inertial Measurement Units;2024-01-29

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