Ji Yeon Lee
Papers
1
Total Citations
3
H-Index
1
About
Ji Yeon Lee is a pioneering researcher in the field of rehabilitation robotics, with a primary focus on robot-assisted gait training and the integration of biometric data for personalized therapy. Her most cited work, "Intensity control of robot-assisted gait training based on biometric data: Preliminary study" (2022, 3 citations), introduces a novel approach that replaces subjective therapist judgment with objective biometric feedback to optimize training intensity for patients. This preliminary randomized controlled study demonstrates her commitment to advancing evidence-based rehabilitation, enhancing both safety and efficacy in motor recovery. Lee’s contributions lie at the intersection of biomedical engineering and clinical neuroscience, aiming to tailor robotic interventions to individual patient needs. Though early in her citation impact, her work signals a shift toward data-driven, patient-centered rehabilitation protocols. Her research holds promise for improving outcomes in stroke and spinal cord injury populations, positioning her as an emerging leader in smart rehabilitation technologies.
Research Focus
Key Achievements
Top Papers
- 1