CISE Seminar: March 29, 2019 – Sunghoon Ivan Lee, UMass Amherst

BU Photonics Building
8 St. Mary’s Street, PHO 211
3:00pm-4:00pm

Sunghoon Ivan Lee
University of Massachusetts, Amherst

The Use of Wearable Sensors and Systems in Physical Medicine and Rehabilitations 

Remote monitoring of functional performance or motor symptoms in patients with brain injuries (e.g., stroke or traumatic brain injuries) and neurological conditions (Parkinson’s disease or ataxia) can provide clinicians with information regarding the real-world impact of the prescribed interventions. Such information has potential to further allow clinicians to administer individually-tailored therapeutic interventions or fine-grained management of the conditions that can maximize patients’ motor performance during the performance of essential activities of daily living (ADLs) and thus, ultimately their quality of life and independent living.

The use of wearable sensors has emerged as an objective tool to monitor upper limb performance (for brain injuries) and motor symptoms (for neurological conditions) in real-world settings. However, current solutions demonstrate a number of technical limitations that hinder the translation and widespread use of wearable sensors in clinical practice. In this talk, I will review state-of-the-art approaches in the objective measurement of real-world upper limb performance and motor symptoms based on wearable computing, followed by our own contributions to the field. Specifically, I will introduce our recent work in 1) novel analytics approaches to extract clinically meaningful information from wearable inertial data, and 2) novel approaches to enable passive (battery-less) wearable sensors to monitor fine-grained hand movements.

Ivan Lee is an Assistant Professor of Computer Science, Adjunct Assistant Professor of Electrical and Computer Engineering and of Biomedical Engineering at UMass Amherst. He received his PhD in Computer Science, MS in Computer Science, and MS in Electrical Engineering, all from the University of California Los Angeles in 2010, 2013, and 2014, respectively. From 2014 to 2016, he was a post-doctoral fellow in the Department of Physical Medicine & Rehabilitation at Harvard Medical School.

Ivan is a recipient of the NSF CRII Award and NIH Trailblazer Award for Young Investigators. He is currently an Academic Editor of PLOS ONE. He is also serving as an elected Associate Member of the Technical Committee on Wearable Biomedical Sensors and System of the IEEE Engineering in Medicine and Biology Society (EMBS). Ivan has served as technical program committee members and workshop chairs for several flagship conferences in the area of wearable computing and health informatics. Ivan frequently serves on scientific review panels for funding agencies such as the NSF and NIH.

Ivan’s research interests are in Mobile & Personalized Health, focusing on developing wearable sensors and data analytic methodologies to understand the health conditions associated with neurological, neuromuscular, or muscular skeleton disorders. With a primary focus on evolution, his specific research interests include 1) designing and implementing novel sensors and remote monitoring systems that are motivated by practical medical needs, 2) constructing appropriate clinical trials, and 3) analyzing the obtained data to quantify patients’ conditions and validate the systems’ clinical efficacy.

Faculty Host: Ioannis Paschalidis
Student Host: Arian Houshmand