Sleep Apnea: A Review of Diagnostic Sensors, Algorithms, and Therapies
This article reviews the current engineering approaches (including AI and machine learning) for the detection and treatment of sleep apnea.
A Modeling Study on Inspired CO2 Rebreathing Device for Sleep Apnea Treatment by Means of CFD Analysis and Experiment
In this study, we present the device design, simulation, and measurement results of a therapy device that potentially prevents sleep apnea by slightly increasing inspired CO2 through added dead space (DS).
Sleep Scoring Automation Via Large Scale Machine Learning
In this work, we present a large-scale machine learning analysis of a multi-site, 5793 patient dataset, demonstrating strong performance in SDB event classification.
NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning
The study examines a machine learning system, called NEXT, which provides a unique platform for real-world, reproducible active learning research. This paper details the challenges of building the system and demonstrates its capabilities with several experiments.