Wearable Signal Tools · Signal processing
Scikit Digital Health (SKDH)
Python signal processing toolbox for accelerometer/IMU signals (actigraphy, gait)
What is Scikit Digital Health (SKDH)?
Scikit Digital Health is a Python package for ingesting and analysing wearable inertial sensor data, with pipelines for gait, physical activity, sleep and wear detection.
Scikit Digital Health (SKDH) at a glance
- Signals
- Category
- Signal processing · also preprocessing
- Domains
- actigraphy, gait, sleep, activity recognition
- Language
- Python
- Licence
- MIT
- Commercial use
- yes
- Maintenance
- Commit in the last 12 months (as of Oct 21, 2026)
- Last commit
- Sep 3, 2026
Related open-source tools
Other Wearable Signal Tools that share a signal with Scikit Digital Health (SKDH).
Summary, licence and commercial-use fields are shown as recorded for this project. Maintenance is computed from the last commit date. Check the project’s own repository for its current licence and status.