Detection of sleep apnea episodes from UWB data

Abstract

Sleep apnea monitoring has significant implications in the medical field. Traditional methods used to achieve this usually involve devices and equipments which directly contact the human subjects. These include polysomnography but these methods are relatively inconvenient, expensive and inefficient. [1] A band new method using a low-power ultra-wideband (UWB) impulse radio signal has been proposed by the previous study group at Nanyang Technological University to provide non-contact measurement of the human subject’s respiratory efforts.This project is an extension of the previous work to explore the potential methods to detect sleep apnea in the human subject’s respiratory movement from the UWB data collected. We aim to find out the change points which imply the possible occurrence of sleep apnea. This has potentially great practical value to enable the UWB system employed in real-time sleep apnea detection.