• 대한기계학회논문집A
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• 제30권2호
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• pp.194-201
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• 2006

Gait analysis is essential to identify accurate cause and knee condition from patients who display abnormal walking. Traditional linear tools can, however, mask the true structure of motor variability, since biomechanical data from a few strides during the gait have limitation to understanding the system. Therefore, it is necessary to propose a more precise dynamic method. The chaos analysis, a nonlinear technique, focuses on understand how variations in the gait pattern change over time. Eight healthy eight subjects walked on a treadmill for 100 seconds at 60 Hz. Three dimensional walking kinematic data were obtained using two cameras and KWON3D motion analyzer. The largest Lyapunov exponent from the measured knee angular displacement time series was calculated to quantify local stability. This study quantified the variability present in time series generated from gait parameter via chaos analysis. Knee flexion-extension patterns were found to be chaotic. The proposed Lyapunov exponent can be used in rehabilitation and diagnosis of recoverable patients.

• 한국전문물리치료학회지
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• 제22권2호
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• pp.30-40
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• 2015

Robot-assisted rehabilitation therapy has been used to increase physical function in post-stroke patients. The aim of this meta-analysis was to identify whether robot-assisted gait training can improve patients' functional abilities. A comprehensive search was performed of PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), Physiotherapy Evidence Database (PEDro), Academic Search Premier (ASP), ScienceDirect, Korean Studies Information Service System (KISS), Research Information Sharing Service (RISS), Korea National Library, and the Korean Medical Database up to April, 2014. Fifteen eligible studies researched the effects of robot-assisted gait training to a control group. All outcome measures were classified by International Classification of Functioning, Disability, and Health (ICF) domains (body function and structures, activity, and participation) and were pooled for calculating the effect size. The overall effect size of the robot-assisted gait training was .356 [95% confidence interval (CI): .186~.526]. When the effect was compared by the type of electromechanical robot, Gait Trainer (GT) (.471, 95% CI: .320~.621) showed more effective than Lokomat (.169, 95% CI: .063~.275). In addition, acute stroke patients showed more improvement than others. Although robot-assisted gait training may improve function, but there is no scientific evidence about the appropriate treatment time for one session or the appropriate duration of treatment. Additional researchers are needed to include more well-designed trials in order to resolve these uncertainties.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1272-1277
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• 2005

In this study, we wolud be developed the fuzzy controlled PGO that controlled the flexion and the extension of each PGO's joint using the bio-signal and FSR sensor. The PGO driving system is to couple the right and left sides of the orthosis by specially designed hip joints and pelvic section. This driving system consists of the orthosis, sensor, control system. An air supply system of muscle is composed of an air compressor, 2-way solenoid valve(MAC, USA), accumulator, pressure sensor. Role of this system provide air muscle with the compressed air at hip joint constantly. According to output signal of EMG sensor and foot sensor, air muscles and assists the flexion of hip joint during PGO gait.

• The Journal of Korean Physical Therapy
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• 제35권3호
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• pp.64-70
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• 2023

Purpose: This study investigated the influence of attention-demanding tasks on gait and measured differences in the temporal, spatial and kinematic characteristics between young healthy adults and elderly healthy adults. Methods: We recruited 16 healthy young adults and 15 healthy elderly adults in this study. All participants performed two cognitive tasks: a subtraction dual-task (SDT) and working memory dual-task (WMDT) during gait plus one normal gait. Using the LEGSys+ system, knee and hip-joint kinematic data during stance and swing phase and spatiotemporal parameter data were assessed in this study. Results: In the elderly adult group, attention-demanding tasks with gait showed a significant decrease in hip-joint motion during the stance phase, compared to the normal gait. Step length, stride length and stride velocity of the elderly adult group were significantly decreased in WMDT gait compared to normal gait (p<0.05). In the young adult group, kinematic data did not show any significant difference. However, stride velocity and cadence during SDT and WMDT gaits were significantly decreased compared to those of normal gait (p<0.05). Conclusion: We determined that attention-demanding tasks during gait in elderly adults can induce decreased hip-joint motion during stance phase and decreased gait speed and stride length to maintain balance and prevent risk of falling. We believe that understanding the changes during gait in older ages, particularly during attention-demanding tasks, would be helpful for intervention strategies and improved risk assessment.

• Annals of Clinical Neurophysiology
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• 제11권1호
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• pp.9-15
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• 2009

Background: To investigate the differences of locomotor dynamics between Parkinson's disease (PD) patients with tremor dominant symptom and patients with postural instability dominant symptom. Methods: 66 subjects with PD were classified into two subgroups, tremor-dominant group and postural instability and gait disorder group by Unified Parkinson's disease rating scale (UPDRS). The spatial, temporal and electrodynamic gait parameters were recorded automatically using computerized 3-D motion analysis system with electrogoniometer. Results: There was no significant difference in cadence, pelvic tilt range, hip flexion range, knee flexion range and ankle dorsiflexion range. Postural instability and gait disorder group showed decreased gait velocity, short stride length, decreased range of motion in pelvic obliquity, pelvic rotation and ankle plantar flexion. Conclusions: There was meaningful difference in locomotor dynamics between Parkinson's disease(PD) patients with tremor dominant symptom and patients with postural instability dominant symptom.

• Journal of Electrical Engineering and Technology
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• 제9권6호
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• pp.2118-2125
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• 2014

Gait Recognition is a new technique to identify the people by the way they walk. Human gait is a spatio-temporal phenomenon that typifies the motion characteristics of an individual. The proposed method makes a simple but efficient attempt to gait recognition. For each video file, spatial silhouettes of a walker are extracted by an improved background subtraction procedure using Gaussian Mixture Model (GMM). Here GMM is used as a parametric probability density function represented as a weighted sum of Gaussian component densities. Then, the relevant features are extracted from the silhouette tracked from the given video file using the Principal Component Analysis (PCA) method. The Fisher Linear Discriminant Analysis (FLDA) classifier is used in the classification of dimensional reduced image derived by the PCA method for gait recognition. Although gait images can be easily acquired, the gait recognition is affected by clothes, shoes, carrying status and specific physical condition of an individual. To overcome this problem, it is combined with footprint as a multimodal biometric system. The minutiae is extracted from the footprint and then fused with silhouette image using the Discrete Stationary Wavelet Transform (DSWT). The experimental result shows that the efficiency of proposed fusion algorithm works well and attains better result while comparing with other fusion schemes.

• The Journal of Korean Physical Therapy
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• 제16권1호
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• pp.183-207
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• 2004

The purpose of this study was to describe and compare the temporo-spatial gait characteristics of healthy elderly people with those osteoarthritis patients. 100 patients reported knee osteoarthritis, diagnosed at the hospital or clinic located in Daegu and Kyungbuk province and 100 normal elderly subjects were participated in this study. Temporal and spatial parameters of gait were analysed for using the computerized GAITRite system. The system integrates specific components of locomotions to provide a single, numerical representation of gait, the Functional Ambulation Performance score. Differences in gait characteristics between the two groups were examined using a correlated t-test and Pearson Correlation(p<.05). Significant differences were observed between the groups for temporal parameters(step time, double support time, stance phase, mean velocity) and spatial parameters(step length, step/extremity ratio)(p<.05). Also there was difference in the functional ambulation performance score between normal elderly subjects and knee osteoarthritis patients(p<.05). Consequently, it may help detect the abnormal gait pattern indicated the main problem in degenerative knee osteoarthritis patients as well as provide data analysing the pathokinesiologic components by comparing normal elderly.

• 한국엔터테인먼트산업학회논문지
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• 제14권3호
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• pp.363-373
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• 2020

본 연구는 뇌졸중 환자에게 엔터테인먼트요소가 가미된 가상현실과 시각적 되먹임 보행 훈련 프로그램을 병행하여 보행능력과 삶의 질을 향상시키고자 하였다. 이에 휘돌림 보행을 하는 뇌졸중 환자 10명을 선정하여, 가상현실과 힘판을 통한 시각적 되먹임 트레드밀보행훈련을 일일 30분씩, 주5회, 5주간 총 25회 실시하였다. 이러한 보행훈련의 효과를 알아보기 위해 관절가동범위검사, 근활성도 검사, 버그 균형 척도(BBS), 보행분석, 삶의 질(SS-QOL) 평가를 중재 전·후 시행하였다. 본 연구결과, 보행 흔듦기 시기에 마비측 관절가동범위와 근활성도, 동적균형능력, 보행능력, 삶의 질이 중재 후 통계학적으로 유의하게 차이가 있었다(p<0.05). 본 연구결과를 통해 본 연구의 보행훈련이 휘돌림 보행을 하는 뇌졸중 환자의 발처짐, 근활성도, 동적 균형 및 보행능력을 향상시키고, 이로 인한 삶의 질도 개선하는 것을 알 수 있었다. 따라서 휘돌림 보행을 하는 뇌졸중 환자의 보행능력 향상과 삶의 질 개선을 통한 라이프케어증진을 위해 가상현실과 힘판을 통한 시각적 되먹임 트레드밀보행훈련 프로그램 적용을 권장한다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 춘계학술대회논문집
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• pp.882-887
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• 2003

This paper presented a design and control of a new RGO(reciprocating gait orthosis)and its simulation. The new RGO was distinguished from the other one by which had a very light-weight and a new RGO(reciprocating gait orthosis) system. The vibration evaluation of the hip joint system on the new RGO(reciprocating gait orthosis)was used to access by the 3-axis accelerometer with a low frequency vibration of less than 30 ㎐. The gait of the new RGO depended on the constrains of mechanical kinematics and the initial posture. The stability of dynamic walking was investigated by analyzing the ZMP (zero moment point) of the new RGO. It was designed according to the human wear type and was able to accomodate itself to the environments of S.C.I. Patients. The joints of each leg were adopted with a good kinematic characteristics. To analyse joint kinematic properties, we made the hip joint system of FEM and the hip joint system by 1-axis and 3-axis Accelerometers.

• 인간행동과 음악연구
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• 제7권2호
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• pp.65-81
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• 2010

본 연구는 소뇌 별아교세포종 발병으로 인해 소뇌 수술을 받은 12세 환아의 보행 기능 개선을 위해 RAS 보행훈련을 실시하여 보행인자의 변화를 관찰한 사례연구이다. 객관적 분석을 위해 VICON 370 Motion Analysis System을 이용한 동작분석을 RAS 보행 훈련 사전 사후에 실시하였다. 매 회기 30분씩 총 9회의 훈련을 실시한 결과 시공간적 지표 중 분속수, 보행속도, 보행시간, 보장, 활보장의 증가와 운동형상학적 지표의 움직임이 정상범주의 형상과 근접해가는 경향성을 나타내었다. 이는 RAS 보행훈련 후 보행의 효율성이 증진되는 것으로 해석될 수 있다. 이는 신체적 재활이 요구되는 여러 대상군에게 적용 가능성을 보여주었으며 효율성 검증을 위한 후속 연구가 요구된다.