The purpose of this study is twofold. On the one hand, a comparison between the predictive performance of an automated home monitoring system and the gold standard PSG in sleep apnea diagnosis will be performed. The home monitoring system consists of a pulse oximeter, an accelerometer, a smartphone to record ambient sound, and a mattress to record the BCG signal. This system will be provided by KU Leuven and Equilli, two partners that work together with the Sleep Laboratory at UZ Leuven and the group STADIUS of the KU Leuven in the OSA+ project. The system performs automated signal processing and classification in order to determine the presence of sleep apnea events. On the other hand, this study aims to improve the phenotyping of patients suffering from sleep apnea. This task will be first developed using the classical PSG and later an evaluation will be performed on the less obtrusive system.