Additional Signals for Exercise, Stress and Sleep and Prediction of Glucose Levels for AP Systems

Study Summary

The objective of this research is to determine the most informative variables for detecting exercise, acute stress and sleep, identify select sensors that report these variables, and develop the algorithms to detect the occurrence of exercise, stress and sleep, to discriminate them and to determine their characteristics. Research is needed to identify which wearable devices report the most informative and predictive variables of exercise, acute stress and sleep with desired precision and accuracy, determine the best location to wear them for collecting reliable and informative data, and to distill accurate knowledge from data reported by wearable sensors. Data and their interpretation should be informative for various types of physical activities, stages of sleep, and types and intensities of acute stress, and concurrent occurrence of these factors. The investigators will use several devices (chest band, wristband and skin patches) to collect data and evaluate their information content and contribution to improvement of glucose concentration prediction, best locations for collecting accurate and reliable information by conducting clinical and free-living experiments at-home to assess the contributions of the wearable device in improving the accuracy of glucose concentration prediction and the performance of the multivariable artificial pancreas.