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Wearable Sensors and Systems with CVD Applications
The significant advances we have witnessed in semiconductor technology in past several decades has driven remarkable innovations in information and communications systems that seemed to be science fiction in the late twentieth century. Now, more recently in the past couple of decades, advances in semiconductor technologies are driving innovations in low-cost, user-friendly smart wearable sensors and systems to manage health. This is especially important in the realm of remote, personalized patient care that is recently catalyzed by the COVID-19 pandemic. In the first part of this presentation, we will discuss the symptoms and diagnoses of common cardiovascular diseases (CVDs) such as arrhythmias and cardiomyopathy, and the gaps in our understanding from the clinical perspective. In the second part, we will discuss the important role of wearable sensors and systems in monitoring CVDs. We will introduce the key enabling technologies for sensors, low-power data processing and communications, and data analysis to create smart wearable sensors and systems used to manage health, with a focus on the heart and CVDs.
Tapas Mondal is a pediatric cardiologist at McMaster University since 2005. He is an Associate Professor of Pediatrics at McMaster University and an associate member in the Hospital for Sick Children, Toronto, also as an associate member in the faculty of Engineering at McMaster University. Dr. Mondal was honored with the Best Teacher award from McMaster University in 2009 (also nominated as Best teacher in 2006 and 2020) and received the Best Senior Resident honor from Kalawati Saran Children’s Hospital in Delhi, India. He was awarded Jeffrey Coates award in 2018 as the first Pediatrician recipient considered to be the best physician of the city of Hamilton. Dr. Mondal delivers integrated, personalized, family-centered patient care while creating an advanced learning environment for highly skilled personnel. His research interests center around different imaging techniques including low-cost health monitoring systems.
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