SenSE: AI-Driven, Resilient and Adaptive Monitoring of Sleep (AI-DReAMS)

Alper Yusuf Bozkurt
Edgar J Lobaton
Michael Daniele

Project runs from 01/01/2021 to 12/31/2023
$748,668

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.