MEMS and AI for Digital Cardiopulmonary Health
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 explores the integration of MEMS technology and AI algorithms in wearable, implantable, and remote monitoring devices. AI enhances the interpretation of complex physiological signals, enabling automated diagnostics, predictive modeling for patient-specific risk assessment, and decision support for clinicians. Additionally, the use of MEMS in point-of-care and home-based monitoring is shifting the paradigm from reactive to proactive healthcare, reducing hospitalizations and improving quality of life.
By bridging engineering, machine learning, and medicine, MEMS and AI are transforming digital cardiopulmonary and vascular health, making precision medicine more accessible. This talk will highlight the latest advancements, challenges, and future directions in this exciting and rapidly evolving field.
BIOGRAPHY
Farrokh Ayazi is the Regents Entrepreneur and Ken Byers Professor in Microsystems at the Georgia Institute of Technology, Atlanta, GA, USA. He is also the founder and managing director of StethX Microsystems, a spin-out of his research laboratory that commercializes wearable seismic patches for cardiopulmonary applications. He received the M.S. and Ph.D. degrees from the University of Michigan, Ann Arbor, in 1997 and 2000, respectively, all in electrical engineering. His main research interests lie in the area of integrated micro/nano-electro-mechanical-systems, with a focus on acoustic resonators and inertial sensors. He was Founder and CTO of Qualtre, another spin-out of his research laboratory that commercialized bulk acoustic-wave silicon gyroscopes for navigation applications, which was acquired by Panasonic in 2016. He is a fellow of the IEEE and the national academy of inventors (NAI), holds 70 issued patents, and has authored over 300 refereed technical and scientific articles. Dr. Ayazi was the General Chair of the IEEE Micro-Electro-Mechanical- Systems Conference in 2014, San Francisco, CA, USA.