Consumer-grade fitness trackers provide some insight into fitness metrics like GPS location, steps, and distance walked, and in some cases sleep. However, consumer grade devices are not validated in their accuracy of sleep capture, and often miss or under-estimate critical nuances such as acute wake episodes, which have a material impact on one’s fatigue.
The ReadiBand has been validated against clinical sleep labs (polysomnography) at 92% accuracy for sleep/wake detection — far exceeding anything available from a consumer device.
More importantly, accurate sleep data collection is only half the equation. The other critical question is: is one’s pattern of sleep truly restorative, or is an individual facing reduced performance due to fatigue? Only with the SAFTE Fatigue Model paired with the ReadiBand are these insights available from sleep data.