Research-Led Fatigue Tracking
FatigueSense is part of doctoral research at Newcastle University. It combines machine learning, wearable data, and input from people living with fatigue to surface patterns that may help you notice what affects you and manage day to day.
The Science Behind FatigueSense
We draw on published research about digital biomarkers and wearable measures of fatigue. That work gives us sensible measures and study designs to build on. The app is modular so we can update models and features as the evidence and the beta evolve.
Modelling pipelines
Experimental models trained on research datasets, evaluated per cohort rather than one-size-fits-allGuardrails & checks
Flags inconsistent or low-quality data before surfacing outputsPersonal baselines
Learns your typical ranges over time; still a statistical summary, not a clinical ruleNotification logic
Optional reminders for check-ins, configurable so the app does not nagInstitutional Support
Research Partners & Programmes
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Research Acknowledgements
Affiliation: Newcastle University and NIHR Newcastle Biomedical Research Centre (BRC), Newcastle upon Tyne, UK.
NIHR Newcastle BRC funding acknowledgement
This research received some funding from the NIHR Newcastle Biomedical Research Centre (BRC) awarded to The Newcastle upon Tyne Hospitals NHS Foundation Trust, Faculty of Medical Sciences, Newcastle University and Cumbria, Northumberland, Tyne and Wear Foundation Trust.
Collaborate With Us
For Researchers & Clinicians
We welcome collaboration with researchers studying fatigue, wearable technology, machine learning in health, or chronic conditions.
Reach us at info@fatiguesense.com
Areas of collaboration:
Joint studies
Clinical validation studies in specific patient populations
Wearable data analysis and methodology exchange
Algorithm improvement and feature development
For Participants
Want to try FatigueSense and contribute to fatigue research? As a beta participant, your anonymised data helps us test features, improve accuracy, and learn what works in real-world use.
What you'll get:
Free access to beta features while the study runs
Exploratory model outputs tied to your own history
A personal profile that matures as more data arrives
Early access to new features as we ship them
Publications & preprints
Peer-reviewed work we build on:
- Systematic review on digital biomarkers of fatigue: npj Digital Medicine (2025)
- Feasibility of next-day fatigue prediction: Frontiers in Digital Health (2025)