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Funded Research

SCH: INT: Collaborative Research: A Data-Driven Approach for Enhancing Wearable Device Performance – A Study on Early Detection of Asthma Exacerbation

Sponsored by National Science Foundation (NSF)

Edgar J Lobaton
Alper Yusuf Bozkurt

Project runs from 09/01/2019 to 08/31/2023
$666,995

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.

Edgar Lobaton

Edgar Lobaton

Associate Professor

 Engineering Building II (EB2) 2062
  ejlobato@ncsu.edu
  Website
Alper Bozkurt

Alper Bozkurt

Professor

 Engineering Building II (EB2) 3070
  aybozkur@ncsu.edu
  Website

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Department of Electrical and Computer Engineering

890 Oval Drive
3114 Engineering Building II
Raleigh, NC 27606

919.515.2336

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