SCH: INT: Collaborative Research: A Data-Driven Approach for Enhancing Wearable Device Performance – A Study on Early Detection of Asthma Exacerbation
Edgar J Lobaton
Alper Yusuf Bozkurt
Project runs from 09/01/2019 to 08/31/2023
Our main goals are to: (1) develop a statistically-sound data-driven framework for signal quality characterization of wearable devices in the real-world; and (2) use this framework for enhancing algorithmic developments and hardware design. Current approaches depend on rules or indicators derived from expert knowledge in controlled environments, so they do not generalize well to the use at-home. Our main application will be the early asthma exacerbation detection. We aim to employ the prototypes designed by the NSF-ERC ASSIST center, which aims to develop nano-enabled energy harvesting, energy storage, nanodevices and sensors to create innovative battery-free, body-powered, and wearable health monitoring systems.