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Sunghoon Lee

Assistant Professor

I am pursuing end-to-end research in the field of Smart & Connected Health, specializing in Physical Medicine & Rehab based on wearable sensors and data analytic methodologies in order to understand the human movements and the associated neurological, neuromuscular, or muscular skeleton conditions (e.g., stroke, Parkinson’s disease, traumatic brain injuries, and osteoarthritis). With a primary focus on evolution, my research interests lie in 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.

Current Research

Some of my current research projects include 1) development of a novel flexible wearable sensing solution for estimating joint-angles, 2) remotely tracking longitudinal changes in movement quality in stroke and traumatic brain injury survivors using wearable sensors, and 3) assessing the severity of motor fluctuations in Parkinsonian patients using wearable sensors.

Academic Background

  • Simon Fraser University, Canada, B.A.Sc. in Computer Engineering, 2008
  • University of California Los Angeles, M.S. in Electrical Engineering , 2010
  • University of California Los Angeles, M.S. in Computer Science, 2013
  • University of California Los Angeles, Ph.D. in Computer Science, 2014 
  • Harvard Medical school, Postdoctoral Research Fellowship, 2016 

 

Xin Liu, Smia Rajan, Nathan Ramasarma, Paolo Bonato, Sunghoon Ivan Lee, “The Use of A Finger-Worn Accelerometer for Monitoring of Hand Use in Ambulatory Settings,” IEEE Journal of Biomedical and Health Informatics (J-BHI), accepted for publication.
Sunghoon Ivan Lee, Catherin P. Adans-Dester, Matteo Grimaldi, Ariel V. Dowling, Peter C. Horak, Randie M. Black-Schaffer, Paolo Bonato, Joseph T. Gwin, “Enabling Stroke Rehabilitation in Home and Community Settings: A Wearable Sensor-Based Approach for Upper-Limb Motor Training,” IEEE Journal of Translational Engineering in Health and Medicine (J-TEHM), vol. 6, no. 1, pp 1-11, 2018.
Bjoern M. Eskofier, Sunghoon Ivan Lee, Manuela Baron, André Simon, Christine F. Martindale, Heiko Gaßner and Jochen KluckenAn, “Overview of Smart Shoes in the Internet of Health Things: Gait and Mobility Assessment in Health Promotion and Disease Monitoring,” Applied Sciences (Appl. Sci.), vol. 7, no. 986, 2017.
Sunghoon Ivan Lee, Andrew Campion, Alex Huang, Jordan Hayward Garst, Nima Jahanforouz, Marie Espinal, Tiffany Siero, Sophie Pollack, Marwa Afridi, Meelod Daneshvar, Saif Ghias, Majid Sarrafzadeh, Daniel C. Lu, “Finding Predictors for Postoperative Clinical Outcome in Lumbar Spinal Stenosis Patients using Smart-shoe Technology,” Journal of NeuroEngineering and Rehabilitation (JNER), vol. 14, no. 77, 2017
S.I. Lee, H.T. Jung, J. Park, J. Jeong, T. Ryu, Y. Kim, V.S. dos Santos, J.G.V. Miranda, J-F. Daneault, “Towards the Ambulatory Assessment of Movement Quality in Stroke Survivors using a Wrist-worn Inertial Sensor,” 20168 IEEE Engineering in Medicine and Biology Conference (IEEE EMBC’18), Hawaii, USA, August, 2018.
X. Liu, S. Rajan, N. Ramasarma, P. Bonato, S.I. Lee, “Finger-Worn Sensors for Accurate Functional Assessment of the Upper Limbs in Real-World Setting,” 2018 IEEE Engineering in Medicine and Biology Conference (IEEE EMBC’18), Hawaii, USA, August, 2018.
H.T. Jung, H. Lee, K. Kim, B. Kim, S. Park, T. Ryu, Y. Kim, S.I. Lee, “Estimating Mini Mental State Examination Scores using Game-Specific Performance Values: A Preliminary Study,” 2018 IEEE Engineering in Medicine and Biology Conference (IEEE EMBC’18), Hawaii, USA, August, 2018
J. Park, H.T. Jung, J-F. Daneault, S. Park, T. Ryu, Y. Kim, S.I. Lee, “Feasibility of Using the RAPAEL Smart Board for Upper Limb Therapy in Stroke Survivors: A Randomized Controlled Trial,” 2018 IEEE Engineering in Medicine and Biology Conference (IEEE EMBC’18), Hawaii, USA, August, 2018.
Hee-Tae Jung, Joon Woo Park, Jugyeong Jeong, Taekyeong Ryu, Yangsoo Kim, Sunghoon Ivan Lee, “A Wearable Monitoring System for At-Home Stroke Rehabilitation Exercises: A Preliminary Study,” 2018 IEEE International Conference on Biomedical and Health Informatics (IEEE BHI’18), Las Vegas, March, 2018 [NSF Student Traveling Award for H.T. Jung, acceptance rate: 14%].
 
Contact Info

College of Information and Computer Sciences
Computer Science Building 222
140 Governors Drive
Amherst, MA 01003-9292

(413) 545-3968
silee@cs.umass.edu

www.sunghoonivanlee.com/