STAPLE (Shared Tools for Automatic Personalised Lower Extremity modelling) consists of a collection of methods for generating skeletal models from three-dimensional bone geometries, usually segmented from medical images. The methods are currently being expanded to create complete musculoskeletal models.

Materials to reproduce the results of our paper about 3D muscle modelling.

Scripts and models to optimize musculotendon parameters in musculoskeletal models.

Neuromusculoskeletal Modeling (NMSM) Pipeline codebase

Lumbar Model Generator

Bone deformation tool designed for applying torsional profiles to bones of musculoskeletal models used in OpenSim

Data (bone geometries and gait analysis data) and scripts to reproduce the results and figures of the scientific publication specified in the README file.

Aiming to improve arm function in people with high-level spinal injuries

Basic camera tracking for rowing movement (Biomechanics), Aneurysm simulation using FreeFem++ (Biomedical Transport Phenomena), etc.

Public repository for "Predicting Knee Adduction Moment Response to Gait Retraining with Minimal Clinical Data" in PLOS Comp Bio (2022)

Functional data analysis of countermovement jump data. It creates linear models from component scores based on a range of data processing techniques, including curve registration.

Function for converting DLTdv tracking files into labeled training data for DeepLabCut pose estimation package

Predictive simulations of walking in children with cerebral palsy

Reproducibility package (repropack) for generating all the models, results and figures included in the referenced publication. We investigated the effect of femoral anteversion on the joint reactions of the lower limb and compared the results against the in vivo loading measured by an instrumented prosthesis (Grand Challenge Dataset).

Master Thesis project at Linköping University by Erik Sars and Sophia Cedermalm. The digital twin developed by ISB research group at Linköping University is extended with biomechanical modelling of the human body. It is done by a dance sequence. Later acquired muscle forces will be analysed.

Scripts used to organize and validate the dataset in 'Three-Dimensional Motion Capture Data of a Movement Screen from 183 Athletes'

Matlab code for gait analysis based on midstance finding.

In-silico simulations to study the effects of ankle-joint misalignments in Ankle-Foot-Orthoses during level walking (Journal Publication).

Flyalyzer fruit fly kinematics tracker for matlab