SAFTE™ Fatigue Model
- The SAFTE Fatigue Model (Sleep, Activity, Fatigue, and Task Effectiveness) is the world’s leading biomathematical fatigue model. Developed by the Walter Reed Army Institute of Research at the U.S. Army Medical Research Development Command and validated by the U.S. Department of Transportation, it analyzes sleep data in order to accurately predict fatigue.
More about the science
ReadiWatch™ wearable device
- The ReadiWatch captures high-resolution sleep data, validated against the clinical gold standard of polysomnography with 92% accuracy. Sleep data is transmitted to the cloud automatically for SAFTE Fatigue Model analysis via Bluetooth.
Simplify your data collection
Easy to use and noninvasive, the ReadiWatch is the perfect solution for collecting scientifically-validated sleep data. Water-resistant and with a 30-day battery life, the Readi Suite fits right into your subjects’ daily life.
With our Readi App, subjects can sync their sleep data remotely. Data is automatically processed and available for you to analyze or export.
For your research and clinical studies, the ReadiWatch provides metrics on sleep duration, awakenings, wake after sleep onset, sleep onset and wake times, sleep efficiency, and onset and wake variance. All visualized in one place and ready to export to CSV.
All your data is automatically stored online in the Readi Enterprise Suite for you to visualize and export. The data can easily be sorted by user and date.
Our research team at Washington State University (WSU) have used the ReadiBand by Fatigue Science to conduct research on the sleep and performance of police officers, military personnel, nurses, firefighters, and elite athletes. We consistently find this product to be an accurate and easy way of monitoring sleep that is reliable, user-friendly, and low burden for research participants.
Dr. Lois James Assistant Professor at the WSU College of Nursing
A huge limitation we had in our research was that it was simply someone telling us how much sleep they had. With the ReadiBands, now we don’t have to ask you how much you slept; we actually have data to show us total sleep time, sleep latency and wake episodes. For once we can actually quantify and correlate sleep to performance, inflammation or whatever variable we are looking at.
Dr. Michael Ormsbee Associate Professor at Florida State University
I have been using the ReadiBand in my research and also with elite athletes since 2012. As my specialty area is recovery in elite athletes, the ReadiBand has proven an invaluable tool for easily collecting accurate sleep and fatigue data.
Dr. Matthew Driller Senior Lecturer at University of Waikato, Acting Head of Performance Physiology at High Performance Sport New Zealand
