Utilitat de l’anàlisi automàtica d’imatges de vídeo pel diagnòstic de la síndrome d’apnea-hipopnea del son

Abstract

The present doctoral thesis is based on the results of two articles that evaluate the utility of the processing and automatic analysis of video-recorded images of the patient’s respiratory and body movements while sleeping as a non-invasive method for the diagnosis of obstructive sleep apnea syndrome (OSA)._x000D_ _x000D_ Sleepwise (SW) is a non-invasive system for the diagnosis of OSA, which is able to detect respiratory events from a series of images recorded by a conventional digital video camera. This video camera records the patient’s respiratory and body movements during sleep. SW technology is based on the physical principle that the volume of air entering the lungs is proportional to the movement of the thorax while breathing._x000D_ _x000D_ In these studies, SW presented a good diagnostic agreement with both in-laboratory polysomnography (PSG) and in-home respiratory polygraphy for all degrees of severity of OSA._x000D_ _x000D_ SW is a non-invasive, portable, comfortable, easy-to-use, and highly accurate diagnostic method for OSA in both the sleep laboratory and the patient’s home.

Date of Award	16 Jul 2020
Original language	Catalan
Supervisor	Jorge Abad Capa (Director) & Ignasi Garcia Olive (Director)