Gait Sharing
Gait Sharing is a free, open-source toolkit designed to facilitate data management and decision-making in clinical gait analysis.
It provides a complete pipeline from raw clinical data to AI-assisted gait interpretation, covering data import, patient management, anonymization, biomechanical feature extraction, and LLM-based reporting.
About the Author
Mehrdad Davoudi — University Children’s Hospital Basel (UKBB), Basel, Switzerland
Mehrdad Davoudi received his master’s degree in mechanical engineering from Sharif University of Technology in Iran and conducted his research in electromyographic signal processing for patients with cerebral palsy at Heidelberg University Hospital in Germany. He accepted a short-term research associate position at the Children’s Hospital in Basel, Switzerland, during his transition phase to continue his journey in biomechanics.
Getting Started
The toolkit has been developed with Python 3.13. Although Python 3.14 is available, the ezc3d library does not yet provide pre-built wheels for this version. Therefore, Python 3.13 is recommended to ensure full compatibility with all dependencies.
pip install -r requirements.txt
python GaitSharing_main.py
See Installation for detailed setup instructions.
Pipeline Overview
Step |
Module |
Description |
|---|---|---|
1 |
Import patient data from existing lab databases |
|
2 |
View, edit, and manage patient records |
|
3 |
Filter patients by clinical criteria |
|
4 |
Create secondary databases for research |
|
5 |
Anonymize clinical reports for sharing |
|
6 |
Extract gait data from C3D files to Excel |
|
7 |
Segment gait cycles into individual strides |
|
8 |
Compute biomechanical features per stride |
|
9 |
Generate AI-assisted gait reports |