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Towards Self-Sustainable Wearable Devices for Reliable Mobile Health Applications

Series: Department Seminar

Speaker: Prof. Ganapati Bhat Assistant Professor, School of Electrical Engineering and Computer Science, Washington State University

Date/Time: May 15 15:00:00

Location: CSA Lecture Hall (Room No. 117, Ground Floor)

Abstract:
Wearable sensors, along with smart home technologies, have the potential to transform healthcare by enabling cost-effective, reliable, continuous, and data-driven monitoring of users in a free-living environment. Continuous monitoring of user activities and vital signs is exciting, as it can expose health issues otherwise difficult to perceive in an office visit. It can also identify early warnings of adverse health events requiring immediate intervention. Despite the impressive potential of wearable technology, widespread adoption of wearable devices has been limited due to several technology and adaptation challenges. This has led to multiple health societies, including the Movement Disorders Society Task Force on Technology, stating that solving these challenges is crucial to improving wearable devices adoption. First, existing wearables devices are rigid, which makes them uncomfortable to wear for long periods. Second, existing implementations of wearable devices typically consider a single device or sensor at a time. As a result, the development of wearable devices happens in isolated silos with limited cross-compatibility. Third, wearable devices have small batteries that necessitate frequent recharging to prolong their operation. In this talk, I will present solutions towards these challenges. First, I will present our open-source hardware/software platform for wearable health monitoring. The platform uses flexible hybrid electronics to enable devices that conform to the shape of the users body. Then, I will describe an algorithm to enable recharge-free operation of wearable devices that harvest energy from the environment. After that, I will present a hardware accelerator and reliable algorithms for the human activity recognition application.

Speaker Bio:
Ganapati Bhat is an Assistant Professor in the School of Electrical Engineering and Computer Science at Washington State University. He received his B.Tech degree in Electronics and Communication from Indian Institute of Technology (ISM), Dhanbad, India in 2012 and the PhD degree in Computer Engineering from Arizona State University in 2020. From 2012-2014, he worked as a software engineer at Samsung Research and Development Institute, Bangalore, India. His research interests include energy optimization in computing systems, dynamic thermal and power management, and energy management for wearable systems. Dr. Bhat received the NSF CAREER award (2023), 2022 ACM Outstanding Ph.D. Dissertation Award in Electronic Design Automation, the 2021 ACM Transactions on Design Automation of Electronic Systems (TODAES) best paper award, and 2019 Best Paper Award at CASES: International Conference on Compilers, Architecture, and Synthesis for Embedded Systems during the Embedded Systems Week (ESWEEK). He serves as an Associate Editor of IEEE Embedded Systems Letters and IEEE Design & Test. He regularly serves as technical program committee member top-tier conference including DAC, ICCAD, ISLPED, ESWEEK, and ISLPED.

Host Faculty: Dr. Sumit Kumar Mandal