Machine learning methods to support personalized neuromusculoskeletal modelling
Many biomedical, orthopaedic, and industrial applications are emerging that will benefit from
personalized neuromusculoskeletal models. Applications include refined diagnostics …
personalized neuromusculoskeletal models. Applications include refined diagnostics …
On the modeling of biomechanical systems for human movement analysis: a narrative review
The rising importance of movement analysis led to the development of more complex
biomechanical models to describe in detail the human motion patterns. The models scaled …
biomechanical models to describe in detail the human motion patterns. The models scaled …
[HTML][HTML] Automatic generation of personalised skeletal models of the lower limb from three-dimensional bone geometries
L Modenese, JB Renault - Journal of Biomechanics, 2021 - Elsevier
The generation of personalised and patient-specific musculoskeletal models is currently a
cumbersome and time-consuming task that normally requires several processing hours and …
cumbersome and time-consuming task that normally requires several processing hours and …
Applying machine learning methods to enable automatic customisation of knee replacement implants from CT data
The aim of this study was to develop an automated pipeline capable of designing custom
total knee replacement implants from CT scans. The developed pipeline firstly utilised a …
total knee replacement implants from CT scans. The developed pipeline firstly utilised a …
The accuracy of statistical shape models in predicting bone shape: A systematic review
Background This systematic review aims to ascertain how accurately 3D models can be
predicted from two‐dimensional (2D) imaging utilising statistical shape modelling. Methods …
predicted from two‐dimensional (2D) imaging utilising statistical shape modelling. Methods …
Automated creation and tuning of personalised muscle paths for OpenSim musculoskeletal models of the knee joint
BA Killen, S Brito da Luz, DG Lloyd… - … and Modeling in …, 2021 - Springer
Computational modelling is an invaluable tool for investigating features of human
locomotion and motor control which cannot be measured except through invasive …
locomotion and motor control which cannot be measured except through invasive …
A statistical shape model of the tibia-fibula complex: sexual dimorphism and effects of age on reconstruction accuracy from anatomical landmarks
A statistical shape model was created for a young adult population and used to predict tibia
and fibula geometries from bony landmarks. Reconstruction errors with respect to CT data …
and fibula geometries from bony landmarks. Reconstruction errors with respect to CT data …
Database of segmentations and surface models of bones of the entire lower body created from cadaver CT scans
MCM Fischer - Scientific Data, 2023 - nature.com
The range of applications of digital surface models of the bones in science and industry is
wide. Three-dimensional reconstructions of bones are used in biomechanics, biomedical …
wide. Three-dimensional reconstructions of bones are used in biomechanics, biomedical …
Development of predictive statistical shape models for paediatric lower limb bones
Background and objective Accurate representation of bone shape is important for subject-
specific musculoskeletal models as it may influence modelling of joint kinematics, kinetics …
specific musculoskeletal models as it may influence modelling of joint kinematics, kinetics …
Predicting the hip joint centre in children: New regression equations, linear scaling, and statistical shape modelling
Determination of the hip joint centre (HJC) is important to accurately estimate hip joint
motion, moments and muscle forces. The most accurate method for HJC estimation without …
motion, moments and muscle forces. The most accurate method for HJC estimation without …