Unobtrusive bed monitoring devices have evolved over 30 years to automatically collect physiological data during sleep, with recent advancements driven by deep learning, AI, and IoT.
Provides an overview of the state of the art in unobtrusive bed monitoring devices for health management and disease prevention.
On average, people spend more than a quarter of their day in bed. If physiological information could be collected automatically while we sleep, it would be effective not only for health management but also for disease prevention. Unobtrusive bed monitoring devices have been developed over the past 30 years or so to detect physiological information without awareness, and this method attracted attention again in the 2020s, with the proliferation of deep learning, AI, and IoT. This section describes the current state of the art.
Tamura et al. (Tue,) reported a review. Unobtrusive bed monitoring devices was evaluated. Unobtrusive bed monitoring devices have evolved over 30 years to automatically collect physiological data during sleep, with recent advancements driven by deep learning, AI, and IoT.