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[Online Seminar] Wearable, Mobile & Non-Invasive Technologies for Human Healthcare


Wearable, Mobile & Non-Invasive Technologies for Human Healthcare


2021.7. 8(Thurs) 16:00


Texas A&M Univ. Prof. Jeonghee Kim




Many of the assistive technologies and treatment systems currently available for movement disorders are not easy to use due to side effects, lack of efficacy, invasiveness, and bulkiness of the system. In addition, diseases are often misdiagnosed in their early stages or inefficiently treated due to the lack of efficient quantification tools. The goal of my research is to improve access to medical service for people with neurological disorders and physical disabilities, such as Parkinson’s disease, dementia, stroke, and spinal cord injuries and to provide efficient information to medical personnel. I aim to develop a wearable health monitoring systems and non-invasive neuromodulation by conducting Ability-based design (1) to quantitatively monitor/characterize their performance and (2) to augment/modulate their limited performance using a smart optimization algorithm. In this seminar, I will introduce my current research projects including the tongue-based assistive technology and its applications, the tremor monitor/diagnosis system for longitudinal home-based system, and the real-time neuromodulation for tremulous behaviors. And then, I will discuss how to approach the pathological behavior using wearable, mobile and non-invasive technologies to improve the quality of life.



Jeonghee Kim is currently an assistant professor and Corrie & Jim Furber ’64 Faculty Fellow in Engineering Technology and Industrial Distribution at Texas A&M University. She received her Ph.D. in Electrical and Computer Engineering at Georgia Institute of Technology, in 2018. At Georgia Tech, she worked on development and evaluation of assistive technology and real-time neural modulation system for people with spinal cord injury and essential tremor, respectively. Her research interests are system design for biomedical and rehabilitation systems in real-time closed-loop and embedded mobile applications, human computer interaction, and assistive technologies. She received the endowed faculty fellowship in 2021, the Outstanding Research Award at Association of Korean Neuroscientists in 2016, and the Best Demonstration Award at the 2012 IEEE BIOCAS. She was selected in NextProf Engineering Workshop 2016 at University of Michigan, Ann Arbor, and Rising Stars 2016 in EECS program at Carnegie Mellon University. Her research is currently funded by National Science Foundation and the US Department of Veterans Affairs.