
UK International AI Award

2025 Grand Prize Winner - AI Product & Industrial Design of the Year
Physiological Signal Detection, Identification, and Integrated AI Analysis System
by MIRDC, Tsai Tung-Lin


The "Physiological Signal Detection, Identification, and Integrated AI Analysis System," developed specifically for the treatment of sleep apnea, achieves seamless synergy through cutting-edge physiological sensing chips and cloud-based platforms. This system delivers real-time, comprehensive data—including the Apnea-Hypopnea Index (AHI), blood oxygen saturation, heart rate, body temperature, and other sleep-related physiological parameters—to both clinicians and patients. At its core, the system leverages AI’s extensive data collection and analytical prowess. By employing neural-network-inspired deep learning and analysis techniques, it accurately deciphers multiple sleep indicators and dynamically monitors therapeutic improvements, providing clinicians with the most authoritative scientific evidence for evaluation. This AI-driven design does more than just bolster technical capacity; it achieves a profound fusion of complex algorithms and medical aesthetics, pioneering a new paradigm of medical expression. Through bold experimentation and hybrid workflows, it drives the future of smart healthcare. This breakthrough technology serves as a significant boon for the sleep apnea community, allowing for precise treatment adjustments based on real-time sensing data. Such a visionary concept is leading a global revolution in medical technology, showcasing innovative excellence on the world stage and ushering in a new era of sleep medicine.





