• 국제물리치료학회지
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• 제2권1호
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• pp.207-213
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• 2011

In this case report, we investigated the effects of robot-assisted gait therapy in a chronic stroke patient using motor assessment and gait analysis. A patient who suffered from the right hemiparesis following the left corona radiata and basal ganglia infarction received 30 minutes of robot-assisted gait therapy, 3 times a week for 4 weeks. Outcome was measured using Motoricity index(MI), Fugl-Meyer assessment(FMA), modified motor assessment scale(MMAS), isometric torque, body tissue composition, 10-meter gait speed and gait analysis. After robot-assisted gait therapy, the patient showed improvement in motor functions measured by MI, FMA, MMAS, isometric torque, skeletal muscle mass, 10-meter gait speed. In gait analysis, cadence, single support time, double support time, step length, walking speed improvement in after robot-assisted gait therapy. The results of this study showed that robot-assisted gait therapy is considered to facilitate locomotor recovery of the chronic hemiparetic stroke patient.

• 대한한방내과학회지
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• 제39권2호
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• pp.147-153
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• 2018

Objective: The purpose of this case report is to evaluate the effect of electroacupuncture on Pal-sa (EX-UE9) for unilateral motor disturbance of the hand after cerebral infarction. Methods: One patient with unilateral motor disturbance of the hand following cerebral infarction (right basal ganglion and corona radiata) was treated with acupuncture, herbal medication, and electroacupuncture on Pal-sa (EX-UE9) once daily from June 30, 2016 to July 4, 2016. We evaluated improvement using the Box and Block Test (BTT) and 10-seconds Test, including the Finger Individual Movement Test (FIMT), the Hand Pronation and Supination Test (HPST), and the Finger Tapping Test (FTT). Results: After five days of treatment, increase of FIMT and FTT scores was observed after electroacupuncture on Pal-sa (EX-UE9). However, no increase was observed in BBT or HPST scores. Conclusions: This study suggests that electroacupuncture on Pal-sa (EX-UE9) can help treat motor disturbance of the hand after cerebral infarction.

• Journal of Welding and Joining
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• 제35권1호
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• pp.34-42
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• 2017

This paper presents a comparative study of the AC and MFDC resistance spot welding process with consideration of sheet thickness. The previous studies have confirmed that there is difference in the optimum welding current and expulsion current with AC and MFDC. The aim of this study was revealing the effect of sheet thickness on weldable current range and expulsion behavior for AC and MFDC welding processes. The optimum welding current of AC was lower (1.6 kA) than MFDC welding process in 0.8 mm sheet thickness. Early nugget growth being caused by the peak current of AC developed weld interface deformation, which resulted in suppressing the growth of corona bond and occurrence of low current expulsion. The resistance spot welding for thicker sheet (1.4 mm) required lower current of 0.6 kA for the expulsion on the MFDC welding process. The growth of contact diameter (size of corona bond) and button diameter was linear up to the expulsion current with MFDC welding process. Therefore, more attention is required when the AC and MFDC resistance spot welding process is applied for different thickness of steel sheet combination for automotive application.

• 센서학회지
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• 제2권1호
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• pp.65-74
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• 1993

본(本) 연구(硏究)에서는 소형(小型) 정전유도형(靜電誘導型) 모터를 제작하고 이 모터에 인가하는 3상(相) 교류전압(交流電壓) 및 주파수(周波數)를 가변(可變)하였을 때의 회전자(回轉字)의 회전속도(回轉速度)의 특성을 실험적으로 검토하였다. 또한 정전유도형(靜電誘導型) 모터의 작동기구상(作動機構上) 회전자(回轉字) 표층물질(表層物質) 및 내층물질(內層物質)의 표면저항율(表面抵抗率), 비유전율(比誘電率) 및 전하완화시정수(電荷緩和時定數)를 변화시켜 회전자(回轉字) 및 고정자(固定子) 사이의 전계강도(電界强度) 및 회전자(回轉字) 표면물질상(表面物質上)의 표면유기전하(表面誘起電荷)의 분포(分布) 및 유기속도(誘起速度)를 변화시킴으로서 소형(小型) 정전유도형(靜電誘導型) 모터의 회전자의 회전속도에 미치는 영향을 검토하였다. 실험(實驗) 결과(結果), 회전자(回轉字) 표층물질(表層物質)의 비유전율(比誘電率), 표면저항률(表面抵抗率) 및 전하완화시정수(電荷緩和時定數) 및 내층물질(內層物質)의 비저항율(比抵抗率)이 모터의 회전속도(回轉速度)에 매우 큰 영향을 미침이 확인되었다. 또한 모터에 인가하는 3상(相) 전원(電源)의 전압(電壓) 및 주파수(周波數)도 모터의 회전(回轉)에 매우 큰 영향을 주며, 회전속도(回轉速度)는 인가전압(印加電壓) 및 주파수(周波數)에 일차(一次) 비례(比例)하여 증가함을 보여주었다. 회전자의 표층물질(表層物質)이 $BaTiO_{3}$ 80% 내층물질(內層物質)이 Cu 일때 무부하(無負荷) 최대속도(最大速度)는 4.5 kV, 220 Hz에서 5500 rpm이 얻어졌다.

• The Journal of Korean Physical Therapy
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• 제34권6호
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• pp.326-331
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• 2022

Purpose: The stroke patients have gait dysfunction due to impaired neural tracts; corticospinal tract (CST), corticoreticular pathway (CRP), and vestibulospinal tract (VST). In this study, we investigated characteristics of gait pattern according to the injury aspect of the neural track in a stroke patient. Methods: One patient and six control subjects of similar age participated. A 19-year-old male patient with spontaneous intracerebral hemorrhage on right basal ganglia, thalamus, corona radiata and cerebral cortex due to arteriovenous malformation rupture. Diffusion tensor imaging (DTI) data was acquired 21 months after the stroke. Kinematic and spatio-temporal parameters of gait were collected using a three-dimensional gait analysis system. Results: On 21 months DTI, the CST and CRP in affected hemisphere showed severe injury, in contrast, the VST in affected hemisphere showed intact integrity. Result of gait analysis, walking distance and speed were significantly decreased in a patient. The stance rate of unaffected lower limb, the swing rate of affected lower limb and the duration of double stance significantly increased compared with normal control. The knee and hip joint angle were significantly decreased in a patient. Conclusion: We found recovered independent gait ability may be associated with unimpaired VST in a patient with severe injury in CST and CRP.

• 전기학회논문지
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• 제66권9호
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• pp.1392-1401
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• 2017

In this study, the design methodology of pattern classification is introduced for avoiding faults through partial discharge occurring in the power facilities and local sites. In order to classify some partial discharge types according to the characteristics of each feature, the model is constructed by using the Radial Basis Function Neural Networks(RBFNNs) and Particle Swarm Optimization(PSO). In the input layer of the RBFNNs, the feature vector is searched and the dimension is reduced through Principal Component Analysis(PCA) and PSO. In the hidden layer, the fuzzy coefficients of the fuzzy clustering method(FCM) are tuned using PSO. Raw datasets for partial discharge are obtained through the Motor Insulation Monitoring System(MIMS) instrument using an Epoxy Mica Coupling(EMC) sensor. The preprocessed datasets for partial discharge are acquired through the Phase Resolved Partial Discharge Analysis(PRPDA) preprocessing algorithm to obtain partial discharge types such as void, corona, surface, and slot discharges. Also, when the amplitude size is considered as two types of both the maximum value and the average value in the process for extracting the preprocessed datasets, two different kinds of feature datasets are produced. In this study, the classification ratio between the proposed RBFNNs model and other classifiers is shown by using the two different kinds of feature datasets, and also we demonstrate the proposed model shows superiority from the viewpoint of classification performance.

• The Journal of Korean Physical Therapy
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• 제30권2호
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• pp.73-77
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• 2018

Purpose: The prefrontal lobe, supplementary motor area, cerebellum, and basal ganglia are activated during gait. In addition, gait is controlled by nerves, such as the corticospinal tract (CST) and corticoreticular pathway (CRP). In this study, the presence of an injury to the CST and CRP was identified by diffusion tensor imaging and the characteristics of the gait pattern were investigated according to inferior cerebral artery infarction. Methods: One patient and six control subjects of a similar age participated. A 69-year-old female patient had an injury to the left basal ganglia, insular gyrus, corona radiata, dorsolateral prefrontal cortex, and postcentral gyrus due to an inferior cerebral artery infarction. Diffusion tensor imaging (DTI) data was acquired 4 weeks after the stroke. The kinematic and spatio-temporal parameters of gait were collected using a three-dimensional gait analysis system. Results: On 4 weeks DTI, the CST and CRP in the affected hemisphere did not show injury to the affected and unaffected hemisphere. Gait analysis showed that the cadence of spatio-temporal parameter was decreased significantly in the patient. The angle of the knee joint was decreased significantly in the affected and unaffected sides compared to the control group. Conclusion: The results of diffusion tensor imaging showed that although the patient was evaluated to be capable of an independent gait, the quality and quantity of gait might be reduced. This study could help better understand the gait ability analysis of stroke patients and the abnormal gait pattern of patients with a brain injury.

• 전기학회논문지
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• 제67권1호
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• pp.114-123
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• 2018

This paper concerns a design and learning method of softmax function neural networks based on K-means clustering. The partial discharge data Information is preliminarily processed through simulation using an Epoxy Mica Coupling sensor and an internal Phase Resolved Partial Discharge Analysis algorithm. The obtained information is processed according to the characteristics of the pattern using a Motor Insulation Monitoring System program. At this time, the processed data are total 4 types that void discharge, corona discharge, surface discharge and slot discharge. The partial discharge data with high dimensional input variables are secondarily processed by principal component analysis method and reduced with keeping the characteristics of pattern as low dimensional input variables. And therefore, the pattern classifier processing speed exhibits improved effects. In addition, in the process of extracting the partial discharge data through the MIMS program, the magnitude of amplitude is divided into the maximum value and the average value, and two pattern characteristics are set and compared and analyzed. In the first half of the proposed partial discharge pattern classifier, the input and hidden layers are classified by using the K-means clustering method and the output of the hidden layer is obtained. In the latter part, the cross entropy error function is used for parameter learning between the hidden layer and the output layer. The final output layer is output as a normalized probability value between 0 and 1 using the softmax function. The advantage of using the softmax function is that it allows access and application of multiple class problems and stochastic interpretation. First of all, there is an advantage that one output value affects the remaining output value and its accompanying learning is accelerated. Also, to solve the overfitting problem, L2-normalization is applied. To prove the superiority of the proposed pattern classifier, we compare and analyze the classification rate with conventional radial basis function neural networks.

• Investigative Magnetic Resonance Imaging
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• 제13권1호
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• pp.40-46
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• 2009

목적 : 기능적 뇌 자기공명영상 (fMRI)과 확산텐서영상(DTI) 합성기법을 이용하여 피질척수로의 여러 부위에서 정량적 특성을 연구하고자 하였다. 대상 및 방법 : 신경학적 이상이 없는 정상인 10명 (남: 8, 여: 2, 평균연령: 30세, 연령분포 : 22 -38세)을 대상으로 하였다. fMRI는 1.5T를 이용하였으며, 손의 쥐기 펴기를 수행하였다. fMRI와 확산텐서섬유로(DTT)의 합성이 가능한 DtiStudio 프로그램을 이용하여 피질척수로를 3차원 영상화하였다. 이때, 시작 관심영역은 2차원 분할 비등방성(fractional anisotropy, FA) 색지도(color map)에서 fMRI의 운동 수행 시 활성부위가 가장 많은 곳으로, 목표 관심영역은 하부 전방 뇌교의 피질척수 부위로 설정하였다. 정량적 분석을 위하여 관심영역을 부채살부터 연수까지 좌우 각각 5곳에 설정하여 분할 비등방성과 현성 확산계수(ADC)를 측정하였다. 결과 : 모든 대상자는 fMRI에서 일차 감각운동 영역이 주로 활성화되었다. 확산텐서 영상에서 피질척수로의 경로는 일차 감각운동 영역부터 연수까지 주행하였다. 피질척수로의 FA 값은 모든 대상자에서 중뇌와 내측 섬유띠의 후지가 타 부위보다 높았다. 결론 : fMRI와 DTT의 합성기법은 피질척수로 상태의 3차원 영상화 및 각 부위에서 FA와 ADC값을 이용한 정량적 분석이 가능하였다. 앞으로, fMRI와 DTT 합성기법은 뇌손상 환자에서 피질척수로의 명확한 상태를 연구하는 데 유용하게 이용될 것으로 사료된다.