Validation of Readiband™ Actigraph and Associated Sleep/Wake Classification Algorithms

This pilot study will assess feasibility and to obtain initial estimates of efficacy of Sleep Activity and Task Effectiveness (SAFTE) model, which can accurately estimate the impact of scheduling factors and sleep history on both safety and productivity. The SAFTE model will be used to asses cancer-related fatigue and study potential associations of change in sleep patterns to tumor recurrence in patients with high grade glioma. Data will be collected using the Readiband™ Sleep Tracker (https://www.fatiguescience.com/sleep-science-technology/). The Readiband device 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. We will correlate clinical progression data obtained from the patient's electronic medical record with SAFTE data.