Leveraging Smart Bed Technology to Detect COVID-19 Symptoms: Case Study

Smart beds represent a valuable resource for passively collecting objective, longitudinal sleep and physiological data. The findings support the feasibility of using these data and machine learning models for real-time detection and tracking of COVID-19 and related illnesses. Future directions include model refinement, integration with other health signals, and applications for population-scale surveillance of emerging infectious diseases.