Multimodal Signal Analysis for Unobtrusive Characterization of Obstructive Sleep Apnea KU Leuven
Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Dynamical Systems, Signal Processing and Data Analytics (STADIUS)
Obstructive sleep apnea (OSA) is the most prevalent sleep related breathing disorder, nevertheless subjects suffering from it often remain undiagnosed due to the cumbersome diagnosis procedure. Moreover, the prevalence of OSA is increasing and a better phenotyping of patients is needed in order to prioritize treatment. The goal of this thesis was to tackle those challenges in OSA diagnosis, by means of advanced signal processing algorithms, ...