SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers

arXiv:2404.03831v1 Announce Type: new
Abstract: Advances in camera-based physiological monitoring have enabled the robust, non-contact measurement of respiration and the cardiac pulse, which are known to be indicative of the sleep stage. This has led to research into camera-based sleep monitoring as a promising alternative to "gold-standard" polysomnography, which is cumbersome, expensive to administer, and hence unsuitable for longer-term clinical studies. In this paper, we introduce SleepVST, a transformer model which enables state-of-the-art performance in camera-based sleep stage classification (sleep …

abstract advances arxiv cs.cv cs.hc indicative measurement monitoring near q-bio.nc research robust sleep stage staging standard transformers type video