Publications by authors named "Changmook Chun"
Gaussian Process Trajectory Learning and Synthesis of Individualized Gait Motions.
IEEE Trans Neural Syst Rehabil Eng
June 2019
Article Synopsis
- The paper proposes a method using Gaussian processes to learn and generate personalized gait motions for robotic rehabilitation systems based on desired walking speeds.
- It employs a technique that utilizes nonlinear dimension reduction to model the internal dynamics of gait as a second-order Markov process in a lower-dimensional space.
- Experimental results show that this method produces gait patterns with 30% lower prediction errors than existing methods, accommodating various user-specified speeds.
Background: Swallowing impairment is a common complication in various geriatric and neurodegenerative diseases. Swallowing kinematic analysis is essential to quantitatively evaluate the swallowing motion of the oropharyngeal structures. This study aims to develop a novel swallowing kinematic analysis software, called spatio-temporal analyzer for motion and physiologic study (STAMPS), and verify its validity and reliability.
View Article and Find Full Text PDFBackground: Focal vibration has been studied for its ability to reduce spasticity in patients with upper motor neuron lesions, but adequate stimulation parameters remain unclear. Focal muscle vibration with adequate parameters may facilitate gait rehabilitation in patients with lower limb spasticity.
Objective: To determine focal muscle vibration parameters that effectively inhibit the H-reflex of the gastrocnemius in healthy subjects.
Objective: To investigate the electrophysiological effects of focal vibration on the tendon and muscle belly in healthy people.
Methods: The miniaturized focal vibrator consisted of an unbalanced mass rotating offset and wireless controller. The parameters of vibratory stimulation were adjusted on a flat rigid surface as 65 µm at 70 Hz.