Mobile Health Seminar: Transforming Healthcare with Contactless and Wearable Smart Health Monitoring Solutions
Abstract: Smart health represents a convergence of various fields, including mobile computing, data science, artificial intelligence, and medicine, to create a new form of healthcare that is more accessible, cost-effective, and inclusive. My research within this space focuses on developing innovative technological solutions to support the collection of novel health data using mobile devices, which can be used for smart health applications. Specifically, my work involves the development of a new class of "medical monitors" that leverage cutting-edge technologies to enable continuous and accurate health monitoring.
In this talk, I will first present my efforts to develop a battery-free and low-cost intraocular pressure (IOP) sensing system. Glaucoma is a complex eye disease that can lead to visual field loss, and elevated IOP is a key indicator of the disease. By leveraging the quantum tunneling effect, we have designed a contact lens-based IOP sensing solution that can monitor IOP continuously and accurately. This technology has the potential to revolutionize the way we detect and manage glaucoma, and improve patient outcomes.
I will also discuss my efforts to repurpose existing wireless infrastructure to enable contactless and ubiquitous health monitoring. While using the signal emitted by wireless infrastructure for human sensing is not a new concept, it has limitations, including insufficient sensing resolution, limited sensing range, and accuracy. To address these limitations, we have developed software and hardware co-designs that significantly improve the sensing capabilities of existing wireless infrastructure. This technology has the potential to enable large-scale health monitoring without the need for expensive and complex medical equipment, making it accessible to a wider range of individuals.
Overall, my research in developing novel health monitoring solutions for smart health applications demonstrates the potential for technology to revolutionize healthcare delivery and improve patient outcomes.
Bio: Yaxiong Xie is an Assistant Professor in the Department of Computer Science and Engineering at the University at Buffalo, SUNY. Before joining UB, he was a postdoctoral researcher at Princeton University. He obtained his Ph.D. from Nanyang Technological University in Singapore. His research broadly focuses on mobile sensing and mobile networks, with specific emphasis on two areas: applying mobile sensing for smart health applications and building next-generation mobile networks for connecting Internet-of-Things devices. His recent research has been published in top conferences, including MobiCom, NSDI, SIGCOMM, UbiComp, SenSys, and SigMetrics. In 2019, his work was selected for GetMobile research highlights.