SenSE: AI-Driven, Resilient and Adaptive Monitoring of Sleep (AI-DReAMS)
This proposed project seeks to improve the capacity to detect and treat sleep disorders through the use of a novel sensor system with accompanying data analytics. This system will utilize wearable multimodal sensors to address the shortcomings of traditional polysomnography systems. If successful, miniaturization and low power consumption could encourage rapid adoption and deployment of the system for home use and real-world settings. NC State is leading the effort to explore this innovative technology.
National Science Foundation (NSF)
The grant—running from January 1, 2021 to December 31, 2023—is for a total of $748,668.
Alper Yusuf Bozkurt
Edgar J Lobaton
We propose a novel sensor system with accompanying data analytics to explore the capability of wearable multimodal sensors to address the short-comings of the traditional polysomnography systems. If successful, this project will lead to improved capacity to carry out sleep research and to detect and treat sleep disorders. The miniaturization and low power consumption will pave the way for rapid adoption and deployment of these systems for home-use in real-world settings.