In collaboration with TNO and UZ Leuven we started the SMARTSLEEP Project to advance our sleep monitoring solution. Our current sleep algorithm already classifies sleeping postures and movements, but through the SMARTSLEEP study, we’re taking it further. By leveraging AI and machine learning techniques, we aim to incorporate metrics derived from polysomnography assessments. Our ultimate goal is to establish wearables as a reliable and accessible alternative to traditional polysomnography, pushing the boundaries of sleep health innovation.