deog young kim

Dr. deog young kim

Department and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul 03722, Korea
orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2003 in CyberPsychology & Behavior
Verified
Journal Article
Closed access
JLJang Han Lee
Jang Han Lee
JKJeonghun Ku
Jeonghun Ku
WCWongeun Cho
Wongeun Cho
WHWon Yong Hahn
Won Yong Hahn
IKIn Y. Kim
In Y. Kim
SKSun I. Kim
Sun I. Kim
Successful rehabilitation with respect to the activities of daily living (ADL) requires accurate and effective assessment and training. A number of studies have emphasized the requirement for rehabilitation methods that are both relevant to the patient's real world environment, and that can also be transferred to other daily living tasks. Virtual reality (VR) has many advantages over other ADL rehabilitation techniques, and offers the potential to develop a human performance testing and training environment. Therefore, in this study, the virtual supermarket was developed and the possibility of using a VR system to assess and train cognitive ability in ADL investigated. This study demonstrates that VR technology offers great promise in the field of ADL training.

1 January 2020 in Stroke
Verified
Journal Article
Open access
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MSMinyoung Shin
Minyoung Shin
MSMin Kyun Sohn
Min Kyun Sohn
JLJongmin Lee
Jongmin Lee
deog young kimdeog young kim
deog young kim
SLSam-Gyu Lee
Sam-Gyu Lee
YKYun-Hee Kim
Yun-Hee Kim
Background and Purpose—: The theory of cognitive reserve (CR) was introduced to account for individual differences in the clinical manifestation of neuropathology. This study investigated whether CR has a modulating effect on cognitive impairment and recovery after stroke. Methods—: This study is an interim analysis of the Korean Stroke Cohort for Functioning and Rehabilitation. A total of 7459 patients with first-ever stroke were included for analysis. Education, occupation, and composite CR scores derived from those 2 variables were used as CR proxies. Scores from the Korean version of the Mini-Mental State Examination analyzed for 30 months after stroke onset were analyzed. Results—: Lower CR increased the risk of cognitive impairment after stroke. The odds ratio was 1.89 (95% CI, 1.64–2.19) in patients with secondary education and 2.42 (95% CI, 2.03–2.90) in patients with primary education compared with patients with higher education. The odds ratio was 1.48 (95% CI, 1.23–1.98) in patients with a skilled manual occupation and 2.01 (95% CI, 1.42–2.83) in patients with a nonskilled manual occupation compared with patients with a managerial or professional occupation. In the multilevel model analysis, the Korean version of the Mini-Mental State Examination total score increased during the first 3 months (1.93 points per month) and then plateaued (0.02 point per month). The slopes were moderated by the level of education, occupation, and composite CR score: the higher the level of education, occupation, or CR score, the faster the recovery. In the older adult group, the Korean version of the Mini-Mental State Examination scores showed a long-term decline that was moderated by education level. Conclusions—: Education and occupation can buffer an individual against cognitive impairment caused by stroke and promote rapid cognitive recovery early after stroke. In addition, higher education minimizes long-term cognitive decline after stroke, especially in older patients. Clinical Trial Registration—: URL: https://www.clinicaltrials.gov . Unique identifier: NCT03402451.

1 November 2003 in Neuroradiology
Verified
Journal Article
Closed access
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JLJ. D. Lee
J. D. Lee
JCJ. S. Chon
J. S. Chon
HJH. K. Jeong
H. K. Jeong
HKH. J. Kim
H. J. Kim
MYM. Yun
M. Yun
HYH. S. Yoo
H. S. Yoo

1 January 2015 in International Journal of Advanced Robotic Systems
Verified
Journal Article
Open access
JKJung-Hoon Kim
Jung-Hoon Kim
MSMyounghoon Shim
Myounghoon Shim
DADong Hyun Ahn
Dong Hyun Ahn
BSByoung Jong Son
Byoung Jong Son
SKSuk-Young Kim
Suk-Young Kim
BCBaek-Kyu Cho
Baek-Kyu Cho
This study presents the development of a modular knee exoskeleton system that supports the knee joints of hemiplegic patients. The device is designed to realize the polycentric motion of real human knees using a four-bar linkage and to minimize its total weight. In order to determine the user's intention, force-sensitive resistors (FSRs) in the user's insole, a torque sensor on the robot knee joint, and an encoder in the motor are used. The control algorithm is based on a finite state machine (FSM), where the force control, position control and virtual damping control are applied in each state. The proposed hardware design and algorithm are verified by performing experiments on the standing walking and sitting motion controls while wearing the knee exoskeleton.

29 January 2020 in PLOS ONE
Verified
Journal Article
Open access
PDF file
SLSeung Yeol Lee
Seung Yeol Lee
deog young kimdeog young kim
deog young kim
MSMIN KYUN SOHN
MIN KYUN SOHN
JLJongmin Lee
Jongmin Lee
SLSam-Gyu Lee
Sam-Gyu Lee
YKYun-Hee Kim
Yun-Hee Kim
Assessment of functional independence and residual disability is very important for measuring treatment outcome after stroke. The modified Rankin Scale (mRS) and the modified Barthel Index (MBI) are commonly used scales to measure disability or dependence in activities of daily living (ADL) of stroke survivors. Lack of consensus regarding MBI score categories has caused confusion in interpreting stroke outcomes. The purpose of this study was to identify the optimal corresponding MBI and modified Rankin scale (mRS) grades for categorization of MBI. The Korean versions of the MBI (K-MBI) and mRS were collected from 5,759 stroke patients at 3 months after onset of stroke. The sensitivity and specificity were calculated at K-MBI score cutoffs for each mRS grade to obtain optimally corresponding K-MBI scores and mRS grades. We also plotted receiver operating characteristic (ROC) curves of sensitivity and specificity and determined the area under the curve (AUC). The K-MBI cutoff points with the highest sum of sensitivity and specificity were 100 (sensitivity 0.940; specificity 0.612), 98 (sensitivity 0.904; specificity 0.838), 94 (sensitivity 0.885; specificity 0.937), 78 (sensitivity 0.946; specificity, 0.973), and 55 (sensitivity 937; specificity 0.986) for mRS grades 0, 1, 2, 3, and 4, respectively. From this result, the K-MBI cutoff score range for each mRS grade can be obtained. For mRS grade 0, the K-MBI cutoff score is 100, indicating no associated score range. For mRS grades 1, 2, 3, 4, and 5, the K-MBI score ranges is from 99 to 98, 97 to 94, 93 to 78, 77 to 55, and under 54, respectively.The AUC for the ROC curve was 0.791 for mRS grade 0, 0.919 for mRS grade 1, 0.970 for mRS grade 2, 0.0 for mRS grade 3, and 0.991 for mRS grade 4. The K-MBI cutoff score ranges for representing mRS grades were variable; mRS grades 0, 1, and 2 had narrow K-MBI score ranges, while mRS grades 3, 4, and 5 exhibited broad K-MBI score ranges. mRS grade seemed to sensitively differentiate mild residual disability of stroke survivors, whereas K-MBI provided more specific information of the functional status of stroke survivors with moderate to severe residual impairment.

1 February 2007 in CyberPsychology & Behavior
Verified
Journal Article
Closed access
JKJaehun Kim
Jaehun Kim
KKKwanguk Kim
Kwanguk Kim
deog young kimdeog young kim
deog young kim
WCWon Hyek Chang
Won Hyek Chang
CPChang-Il Park
Chang-Il Park
SKSun I. Kim
Sun I. Kim
In this paper, we propose a system for training of stroke patients with unilateral neglect by using technology of virtual reality (VR). The proposed system is designed to compensate for unilateral neglect. This system contains the calibration of unilateral neglect and the training of this disease. The calibration procedure is implemented by aligning the virtual object at a subjective middle line. The training procedure is implemented by completing the missions that are used to keep the virtual avatar safe during crossing the street in a virtual environment. The results of this study show that the proposed system is effective to train unilateral neglect. The left to right ratio scores extracted from this system gradually decrease as the sessions of training are repeated. To validate the VR system parameters, the parameters are analyzed by correlation with those of traditional unilateral neglect assessment methods (such as the line bisection test and the cancellation test).