The convergence of precision Micro-Electro-Mechanical Systems (MEMS) sensors and actuators and Artificial Intelligence (AI) is revolutionizing digital health, particularly in cardiopulmonary and vascular care. MEMS-based sensors enable continuous, real-time monitoring of physiological parameters by analyzing heart and lung sounds and vascular dynamics with high precision and minimal invasiveness. When combined with AI-driven analytics, these data streams provide deep insights into cardiovascular and pulmonary health, facilitating early disease detection, personalized interventions, and improved patient outcomes.
This talk introduces the SeismicTM Patch, a smart wearable device empowered by the integration of MEMS, CMOS and AI algorithms in a small size that provides longitudinal monitoring and interpretation of complex cardiovascular and pulmonary acoustic signals, enabling automated diagnostics, predictive modeling for patient-specific risk assessment, and decision support for clinicians.