Oxford researchers develop AI tool that advances automated sleep monitoring for health and sport

Researchers from the University of Oxford’s Podium Institute for Sports Medicine and Technology and the Institute of Biomedical Engineering, Dr Nivedita Bijlani, Zekeriye Nur and Professor Mauricio Villarroel, have developed an AI-powered tool that can objectively measure sleep disruption from overnight physiological recordings. Published in Biomedical Signal Processing and Control in the paper “Multimodal sleep stage classification and label-free abnormality scoring in mid-to-older adults”, the study shows that AI can not only identify sleep stages accurately in older adults but also generate an objective score of sleep abnormality, potentially creating a scalable new way to monitor sleep health and detect sleep disruption over time.

Raccontata daeng.ox.ac.uk