Changki Kim

Dr. Changki Kim

Assistant Professor, Exercise Science


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Changki Kim

EDUCATION

DegreeArea of StudyUniversity
Postdoctoral FellowUniversity of British Columbia Okanagan
Ph.D.Department of Applied Physiology and KinesiologyUniversity of Florida
B.S.College of Information TechnologySoongsil University, Seoul, Republic of Korea
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AWARDS AND HONORS

YearAward
AGE-WELL-UBC Postdoctoral Fellowship in Technology and Aging
Title: Imperceptible Vibration Effect on Sensorimotor Function in Older Adults with Diabetic Neuropathy

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AREAS OF EXPERTISE

motor control

focusing on the neuromuscular mechanisms underlying motor deficits caused by aging and disease (e.g., diabetes, neuropathy)

developing effective rehabilitation methods


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INTERESTS

aging

diabetes

neuropathy

neuromuscular mechanisms

sensory restoration

strength training

dexterity

motor unit decomposition

force steadiness


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CURRENT RESEARCH AND GRANT PROJECTS

  • Improving motor function through sensory nerve rehabilitation in diabetic neuropathy patients
  • Developing optimized exercise programs by analyzing the low exercise participation rates among older adults

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HIGHLIGHTED PUBLICATIONS

Kim C, Larocque KA, Jakobi JM. The effect of acute muscle tendon vibration on motor unit activity in the contralateral, more-affected limb in Parkinson’s disease. Front. Aging Neurosci. 16:1301012. doi: 10.3389/fnagi.2024.1301012.

Haynes EMK, Kim C. Antagonist surface electromyogram decomposition and the case of the missing motor units. J Neurophysiol. 2021;126(6):1943-1947. doi:10.1152/jn.00435.2021.

Kim C, Yacoubi B, Christou EA. Visual load and variability of muscle activation: Effects on reactive driving of older adults. Human Movement Science. 2019 Feb;63:172-181. doi: 10.1016/j.humov.2018.11.018.


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BIOGRAPHY

Dr. Changki Kim is an Assistant Professor in Exercise Science and serves as the Director of the Neuromuscular Physiology Lab for Healthy Aging.

His research aims to 1) understand the neuromuscular mechanisms underlying motor deficits caused by aging and neurological diseases, and 2) utilize this knowledge to develop novel rehabilitation protocols. His approach involves collecting and analyzing both movement data (e.g., single- and multi-joint force control, gait, balance) and physiological data (e.g., EMG) to derive insights for improving motor function and rehabilitation strategies.