Suk Min Lee

About

Suk Min Lee is a leading researcher in neurorehabilitation and assistive robotics, with a focus on restoring mobility and function in stroke survivors and the elderly. Her work bridges cutting-edge technology and clinical application, particularly through robot-assisted gait training (RAGT) and virtual reality (VR) rehabilitation. In a landmark randomized controlled trial, Lee demonstrated that high-intensity RAGT—using objective heart rate reserve targets—significantly improves dynamic balance and aerobic capacity in chronic stroke patients, a finding that has shaped modern gait training protocols (16 citations). She further advanced upper limb recovery by combining VR training with sensory exercise stimulation, showing gains in joint range of motion, motor function, and concentration (16 citations). Earlier in her career, Lee developed a novel control system for elderly gait-assist robots, optimizing movement by analyzing center of pelvis and base of support dynamics. Her contributions have earned her recognition for integrating physiological metrics into robotic therapy, making rehabilitation both more precise and engaging. With over 36 citations across her key works, Lee’s research continues to inform evidence-based practice in neurorehabilitation and human-robot interaction.

Research Focus

Key Achievements

Top Papers

1. 1
   Comparison of the effects on dynamic balance and aerobic capacity between objective and subjective methods of high-intensity robot-assisted gait training in chronic stroke patients: a randomized controlled trial

   16 citations · 2017
2. 2
   The effects of Virtual Reality Training with Upper Limb Sensory Exercise Stimulation on the AROM of Upper Limb Joints, Function, and Concentration in Chronic Stroke Patients

   16 citations · 2019
3. 3
   Research of Elderly Gait-assistant-robot Control System

   4 citations · 2010

Key Collaborators

Contact & Links