Novel Sleep Apnea Detection Based on UWB Artificial Intelligence Mattress

Abstract

In this paper, we propose a novel sleep apnea identification system by adopting a sleep breathing monitoring mattress which utilizes the ultra-wideband (UWB) physiological sensing technique. Unlike traditional methods which need wearable devices and electrical equipment connected to patients, the proposed system detects apnea in a non-conscious and non-contact way by using UWB sensors. The proposed system is built by a machine learning technique in the offline stage, and detects apnea in the online stage by using our designed apnea detection algorithm. The experimental results illustrate that the proposed apnea identification system efficiently detects sleep apnea without diagnoses undertaken at hospitals.