The Sleep Vital Signs Monitoring System is an innovative health management solution that integrates advanced fiber-optic sensing, big data analytics, and AI-powered predictive modeling. Designed for use in elderly care facilities, home monitoring scenarios, and intelligent health platforms, the system employs non-contact fiber-optic sensors discreetly installed beneath pillows or mattresses. This setup allows for continuous, non-intrusive monitoring of key physiological parameters, including heart rate, respiratory rate, body movement, bed presence or absence, and episodes of apnea—all without disturbing the user's sleep. By combining real-time physiological data with medical history profiles such as hypertension or diabetes, the system leverages a medical knowledge graph and data-driven algorithms to identify individuals at elevated health risk. The built-in AI engine further enhances the system’s capability by analyzing fluctuations in vital signs and behavioral patterns to detect potential psychological conditions such as depression or anxiety. It also generates early warnings and auto-generated emergency response plans, empowering caregivers to act promptly and effectively. Ongoing development focuses on disease-specific models using fiber-optic sensing technologies and further application of AI in institutional management. The ultimate goal is to establish a multidimensional monitoring framework that comprehensively covers physiological, psychological, and behavioral indicators. This system not only improves quality of care but also enables data-driven decision-making for preventive health management in daily operations.