Yesung Cha
Papers
1
Total Citations
35
H-Index
1
About
Yesung Cha is a leading researcher in the field of neurorehabilitation engineering, with a primary focus on the quantitative assessment and management of spasticity. His most-cited work, "Quantitative Modeling of Spasticity for Clinical Assessment, Treatment and Rehabilitation" (2020, 35 citations), addresses a critical challenge in movement disorders: the objective measurement of spasticity. This symptom, common in patients with upper motor neuron lesions, generates unwanted reflexes that severely limit limb movement, interfere with rehabilitation, and can lead to pain, muscle atrophy, and deformities. Cha’s major contribution lies in developing computational models that transform subjective clinical observations into precise, data-driven metrics. By bridging the gap between engineering and clinical practice, his work enables more personalized treatment plans and improved rehabilitation outcomes. His research has significant implications for stroke survivors, spinal cord injury patients, and those with multiple sclerosis. Through his innovative quantitative approaches, Cha is helping to replace guesswork with evidence-based care, ultimately enhancing the quality of life for individuals living with chronic neurological conditions.
Research Focus
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Top Papers
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