• The Journal of Korean Physical Therapy
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• v.22 no.1
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• pp.39-45
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• 2010

Purpose: The purpose of this study was to examine changes in functional assessment measures (FAMs) and spatiotemporal gait parameters (STGPs) in healthy older adults before and after a 6-week intervention of a proprioceptive neuromuscular facilitation (PNF) training program. Methods: Thirty healthy older adults (mean age: $73.37{\pm}1.21$ age range: 65-79) were randomly assigned either to an experimental group (participating in a 6-week intervention of PNF training) or a control group (only performing daily activities). Participants in the control group did not receive any training program. Performance was assessed by recording changes in the FAMs and STGPs using functional assessment tools and GAITRite. Results: Participants in the PNF group showed significantly improved functional assessment measures and increased stride length, cadence, velocity, and step width (p<0.05). No significant differences in FAMs and STGPs were found in the control group (p>0.05). Conclusion: Participation in a PNF training program improves FAMs and STGPs, thereby increasing the ability of healthy older adults to maintain dynamic balance during functional performance and gait. These findings support the use of PNF training programs as effective fall-prevention programs for the elderly.

• Physical Therapy Rehabilitation Science
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• v.6 no.3
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• pp.106-112
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• 2017

Objective: Robot assisted gait training is implemented as part of therapy for the recovery of gait patterns in recent clinical fields, and the scope of implications are continuously increasing. However clear therapy protocols of robot assisted gait training are insufficent. The purpose of this study was to investigate the effects of robot-assisted gait training applied with guidance force on balance and gait performance in persons with hemiparetic stroke. Design: Two group pre-test post-test design. Methods: Nineteen persons were diagnosed with hemiparesis following stroke participated in this study. The participants were randomly assigned to the unilateral guidance group or bilateral guidance group to conduct robot-assisted gait training. All participants underwent robot-assisted gait training for twelve sessions (30 min/d, 3 d/wk for 4 weeks). They were assessed with gait parameters (gait velocity, cadence, step length, stance phase, and swing phase) using Optogait. This study also measured the dynamic gait index (DGI), the Berg balance scale (BBS) score, and timed up and go (TUG). Results: After training, BBS scores were was significantly increased in the bilateral training group than in the unilateral guidance group (p<0.05). Spatiotemporal parameters were significantly changed in the bilateral training group (gait speed, swing phase ratio, and stance phase ratio) compared to the unilateral training group (p<0.05). Conclusions: The results of this study suggest that robot-assisted gait training show feasibility in facilitating improvements in balance and gait performance for subacute hemiparetic stroke patients.

• Journal of the Korea Computer Graphics Society
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• v.26 no.5
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• pp.15-24
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• 2020

We present a supervised learning method that estimates the simulation parameters required to simulate the fabric from the static drape shape of a given fabric sample. The static drape shape was inspired by Cusick's drape, which is used in the apparel industry to classify fabrics according to their mechanical properties. The input vector of the training model consists of the feature vector extracted from the static drape and the density value of a fabric specimen. The output vector consists of six simulation parameters that have a significant influence on deriving the corresponding drape result. To generate a plausible and unbiased training data set, we first collect simulation parameters for 400 knit fabrics and generate a Gaussian Mixed Model (GMM) generation model from them. Next, a large number of simulation parameters are randomly sampled from the GMM model, and cloth simulation is performed for each sampled simulation parameter to create a virtual static drape. The generated training data is fitted with a log-linear regression model. To evaluate our method, we check the accuracy of the training results with a test data set and compare the visual similarity of the simulated drapes.

• Structural Engineering and Mechanics
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• v.72 no.1
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• pp.83-97
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• 2019

In this research, the vulnerability of some reinforced concrete frames with different stories are studied based on the Park-Ang Damage Index. The damages of the frames are investigated under various earthquakes with nonlinear dynamic analysis in IDARC software. By examining the most important characteristics of earthquake parameters, the damage index and vulnerability of these frames are investigated in this software. The intensity of Erias, velocity spectral intensity (VSI) and peak ground velocity (PGV) had the highest correlation, and root mean square of displacement ($D_{rms}$) had the lowest correlation coefficient among the parameters. Then, the particle swarm optimization (PSO) algorithm was used, and the sinusoidal waves were equivalent to the used earthquakes according to the most influential parameters above. The damage index equivalent to these waves is estimated using nonlinear dynamics analysis. The comparison between the damages caused by earthquakes and equivalent sinusoidal waves is done too. The generations of sinusoidal waves equivalent to different earthquakes are generalized in some reinforced concrete frames. The equivalent sinusoidal wave method was exact enough because the greatest difference between the results of the main and artificial accelerator damage index was about 5 percent. Also sinusoidal waves were more consistent with the damage indices of the structures compared to the earthquake parameters.

• Physical Therapy Korea
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• v.25 no.2
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• pp.53-61
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• 2018

Background: Stroke patients show abnormal walking patterns due to brain injury. In order to have the desired walking pattern, appropriate stimulation is required to activate the central pattern generator. For this reason, our study performed treadmill ambulatory training with rhythmic auditory stimulation. However we did not consider the influence of visual feedback. Objects: The purpose of this study was to compare the gait abilities in chronic stroke patients following either treadmill walking training with rhythmic auditory stimulation and visual feedback (TRASVF) or treadmill walking training with rhythmic auditory stimulation (TRAS) alone. Methods: Twenty-one stroke patients were divided into two groups: A TRASVF group (10 subjects) and a TRAS group (11 subjects). They received 30 minutes of neuro-developmental therapy (NDT) and walking training for 30 minutes, five times a week for three weeks. Temporal and spatial gait parameters were measured before and after the training period. The Biodex gait trainer treadmill system measured gait parameters. Results: After the training periods, the TRASVF group showed a significant improvement in walking speed, the step length of the affected limb, and time on each foot of the affected limb when compared to the TRAS group (p<.05). Conclusion: The results of this study showed that the treadmill walking training with rhythmic auditory stimulation and visual feedback improved individual gait ability more than the treadmill walking training with rhythmic auditory stimulation alone. Therefore, visual feedback should be considered along with rhythmic auditory stimulation training.

• Journal of The Korean Society of Integrative Medicine
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• v.10 no.1
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• pp.91-99
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• 2022

Purpose : The goal of this study is to examine the effect of robot assisted gait training (RAGT) on the kinematic factors (temporospatial gait parameters, gait cycle ratio, and gait line length) of gait in stroke patients. Methods : The subjects of this study were 24 stroke patients selected by inclusion criteria. Participants were randomly allocated to two groups: robot assisted gait training (n=11) and general neurological physical therapy group (n=11). In the robot-assisted gait training group, robot-assisted gait training was mediated for 30 minutes a day in addition to general neurological physical therapy. The general neurological physical therapy group was mediated by general neurological physical therapy for 30 minutes a day in addition to general neurological physical therapy. The number of interventions was 5 times a week for 5 weeks. In order to compare the kinematic factors of walking between the two groups, gait analysis was performed before and after 5 weeks of training using the Zebris gait analysis system. Results : As a result of the gait analysis of the two groups, there were significant differences in temporospatial gait variables (step length, stride length, step width, step time, stride time), gait cycle ratio (swing phase, stance phase) and gait line length. However, there was no significant difference in the cadence (temporospatial gait parameters) in the robot assisted gait training group compared to general neurological physical therapy group. Conclusion : It is considered to be a useful treatment for stroke patients to promote the recovery of gait function in stroke patients. Based on the results of this study, continuous robot assisted gait training treatment is considered to have a positive effect on gait ability, the goal of stroke rehabilitation. In the future, additional studies should be conducted on many subjects of stroke patients, the kinematic factors of the legs according to the severity of stroke and treatment period, and the effect of gait training.

• Geomechanics and Engineering
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• v.39 no.2
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• pp.129-142
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• 2024

The most significant soil parameters that are utilized in geotechnical engineering projects' design and implementations are soil strength parameters including friction (ϕ), cohesion (c), and uniaxial compressive strength (UCS). Understanding soil shear strength parameters can be guaranteed the design success and stability of structures. In this regard, professionals always looking for ways to get more accurate estimations. The presented study attempted to investigate soil shear strength parameters by using multivariate regression and multilayer perceptron predictive models which were implemented on 100 specimens' data collected from the Tabriz region (NW of Iran). The uniaxial (UCS), liquid limit (LL), plasticity index (PI), density (γ), percentage of fine-grains (pass #200), and sand (pass #4) which are used as input parameters of analysis and shear strength parameters predictions. A confusion matrix was used to validate the testing and training data which is controlled by the coefficient of determination (R²), mean absolute (MAE), mean squared (MSE), and root mean square (RMSE) errors. The results of this study indicated that MLP is able to predict the soil shear strength parameters with an accuracy of about 93.00% and precision of about 93.5%. In the meantime, the estimated error rate is MAE = 2.0231, MSE = 2.0131, and RMSE = 2.2030. Additionally, R² is evaluated for predicted and measured values correlation for friction angle, cohesion, and UCS are 0.914, 0.975, and 0.964 in the training dataset which is considerable.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.360-362
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• 1998

In the original mixtures of experts framework, the parameters of the network are determined by gradient descent, which is naturally slow. In [2], the Expectation-Maximization(EM) algorithm is used instead, to obtain the network parameters, resulting in substantially reduced training times. This paper presents the new EM algorithm for prediction. We show that an Efficient training algorithm may be derived for the HME network. To verify the utility of the algorithm we look at specific examples in time series prediction. The application of the new EM algorithm to time series prediction has been quiet successful.

• Journal of the Korean Society of Physical Medicine
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• v.11 no.1
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• pp.61-69
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• 2016

PURPOSE: This study was conducted to investigate the effect of the virtual reality training (VRT) using 3-dimensional video gaming technology on spatiotemporal gait parameters in older adults. METHODS: The study participants were divided into two groups: the VRT group and the control group. Those in the VRT group were enrolled in a VRT, which was conducted for 60 min per day, two times a week, during the 6-week research. The Wii-Fit balance board game was used for the VRT intervention. The VRT consisted of 6 different types of games, namely, jogging, swordplay, ski jump, hula hoop, tennis, and step dance. A 3-dimensional TV was used for 3-dimensional display. Participants in both the groups received 3 sessions of fall prevention education, at the first, third, and fifth weeks. Their gait parameters were measured by using OptoGait. RESULTS: After 6 weeks of the VRT, the spatial gait parameters of the participants, that is stride length and step length, were significantly improved compared with those of the control group participants (p<0.05). The temporal gait parameters, such as velocity, cadence, stride time, and step time, also showed improvement after the completion of the VRT training (p<0.05). Both the temporal and spatial gait parameters of the VRT group participants showed improvement after 6 weeks of the program compared with those of the control group participants (p<0.05). CONCLUSION: The VRT using 3-dimensional video gaming technology might be beneficial for improving gait parameters to prevent falls among older adults.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.2455-2458
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• 2005

In this paper, we analyzed the effect of a training system for improving equilibrium sense. This training system consists of an unstable platform, a force plate, a computer, and training programs. Using the system with training programs, we performed various experiments to train the equilibrium sense of fifteen subjects. To evaluate the effect of the training system, we measured the time a subject maintains a focus, the moving time to the target, and the absolute deviation of the trace. We analyzed these parameters obtained before and after the training using paired-samples T-test. The results showed that the subjects experienced a distinctive enhancement of their equilibrium senses through the training using our system.