Date of Event Sep 07 2023
Start Time 11:00 AM
End Time 12:00 PM
Description
Jo Woon Chong, Ph.D.
Associate Professor
Department of Electrical and Computer Engineering
Texas Tech University
Embedded System-Based Smart Digital Healthcare
Abstract: This talk discusses the development and clinical testing of embedded system-based smart digital healthcare for eye
disease, burns, and COVID-19. For example, Keratoconus (KC) accounts for 200,000 cases of irreversible blindness and low vision
in the U.S. according to the National Institute of Health-National Eye Institute (NIH-NEI). KC is a corneal disorder that causes blurry
and distorted vision by thinning and steepening the cornea. The causes of KC are Down syndrome, atopy, eczema, excessive eye
rubbing, and genetic disorders. Moreover, environmental factors, such as long-lasting ultraviolet light exposure and hot climate
increase KC. Eye diseases including the KC exerts a significant negative impact on the quality of life of a growing number of
Americans through its association with an increased risk for low vision and blindness. Effective treatments for eye diseases reduce
the risk of complications coming from each eye disease. However, some eye diseases are asymptomatic in the early stage and
irreversible. Conventional solutions for eye disease detection include ophthalmologic equipment, such as optical coherence
tomography (OCT), corneal topography, and fundus cameras used by ophthalmologists/optometrists. Hence, “portable,” “easy-to-access,” “easy-to-use,” and “multi-functional” solutions to detecting eye diseases of cataracts, diabetic retinopathy, and
keratoconus with high accuracy are highly demanded in patient-driven health care. Our proposed embedded system-based
approach to smart digital healthcare will allow the population and healthcare providers to detect diseases and monitor health
conditions under a wide variety of conditions outside of the physician’s office.
Biography: Jo Woon Chong is an Associate Professor in the Department of Electrical and Computer Engineering and Bioengineering
at Texas Tech University, Lubbock, TX, USA. He worked as Postdoctoral Fellow (2010-2012) in the Laboratory for Information and
Decision Systems (LIDS) at Massachusetts Institute of Technology (MIT), Research Assistant Professor (2012-2016) in the
Biomedical Engineering Department at Worcester Polytechnic Institute (WPI), and Visiting Researcher (2014-2016) in the
Department of Biomedical Engineering at University of Connecticut (UConn). He holds a Ph.D. degree (2009) in Electrical
Engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea. Dr. Chong has researched
various areas, including biomedical sensors, biomedical signal processing, non-invasive health monitoring, and health informatics.
He is a co-author of 42 journal papers, 59 conference publications, and one book chapter. He has 34 patents and software
registrations..
If you are unable to attend in person you can join in remotely on WebEx here
Flyer -- Download
Location
UTEB 150
Date Published: May 04, 2023