• Korean Journal of Applied Biomechanics
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• v.18 no.4
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• pp.49-57
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• 2008

The purpose of this study was to determine the effects of 12-week elastic resistance exercise for the elderly on the magnitude of frequency and variability of ground reaction force signals. To this aim, total 12 elderly women aged in their 70 were participated in this study and asked to do a 12-week elastic resistance exercise program. FFT(fast Fourier Transform) was used to analyze the frequency domain analysis of the ground reaction forces's signals and an accumulative PSD (power spectrum density) normalized by support phase of walking was calculated to reconstruct the certain signals. To estimate the gait stability between the before and after exercise, values of variability were determined in a coefficient of variance. The magnitude of frequency and variability analysis for media-lateral signal revealed significantly less after exercise (p<.05). In contrast, variability of this signal's frequency that have used to evaluate the local stability during walking exhibited significantly greater after exercise(p<.05). In summary, magnitude frequency and variability of media-lateral ground reaction force's signal were significantly changed after a 12-week elastic resistance exercise.

• Smart Media Journal
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• v.1 no.2
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• pp.12-22
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• 2012

Today we are witnessing an increasingly widespread use of cameras in our lives for video surveillance, robot vision, and mobile phones. This has led to a renewed interest in computer vision in general and an on-going boom in human activity recognition in particular. Although not particularly fancy per se, human gait is inarguably the most common and frequent action. Early on this decade there has been a passing interest in human gait recognition, but it soon declined before we came up with a systematic analysis and understanding of walking motion. This paper presents a set of DBN-based models for the analysis of human gait in sequence of increasing complexity and modeling power. The discussion centers around HMM-based statistical methods capable of modeling the variability and incompleteness of input video signals. Finally a novel idea of extending the discrete state Markov chain with a continuous density function is proposed in order to better characterize the gait direction. The proposed modeling framework allows us to recognize pedestrian up to 91.67% and to elegantly decode out two independent gait components of direction and posture through a sequence of experiments.

• Korean Journal of Applied Biomechanics
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• v.23 no.1
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• pp.77-83
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• 2013

The purpose of this study was to compare kinematic variables and stiffnesses of ankle joints between normal person and transfemoral amputee gait in order to develop or fit prosthetic leg. Twenty subjects (ten normal persons and ten transfemoral amputees) participated in this experiment, and walked three trials at a self-selected pace. The gait motions were captured with Vicon system and variables were calculated with Visual-3D. The velocity, stride length, stride width, cycle time, double limb support time and right swing time of gaits were statistically significant. Because coefficients of variability of normal persons on velocity, double limb support time and swing time were greater than transfemoral amputees, normal persons controlled these gait variables effectively. The stiffnesses of ankle joints were not statistically significant, but patterns of stiffnesses of ankle joints during three rockers were absolutely different. The negative correlations between stiffnesses of ankle joints and cycle time and swing time were presented. These differences suggest that developing and fitting prosthetic leg were demanded. Further studies should develop fitting program and simulator of prosthetic leg.

• PNF and Movement
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• v.11 no.1
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• pp.17-25
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• 2013

Purpose : To identify importance of coordinative locomotor training, we reviewed the coordinative locomotor training using sprinter & skater with respect to motor control theory. Methods : We reviewed literatures related with sprinter & skater and coordination.. Results : The coordinative locomotor training is useful tool to improve interlimb coordination. A problem of interlimb coordination ability is to minimize the degree of freedoms during walking and to solve with context-condition variability and how to make a interlimb coordinative structures. A way of solving method is coordinative locomotor training using sprinter & skater in PNF. The coordinative locomotor training set to fit the gait steps can be applied with gait tasks and can be extended by applying the irradiation of the PNF. Conclusion : The coordinative locomotor training using sprinter & skater in PNF is a useful way method to improve interlimb coordination during walking.

• Journal of Biomedical Engineering Research
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• v.27 no.6
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• pp.323-331
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• 2006

The purpose of this study was to investigate the effect of performing a cognitive task during treadmill walking on the stride rate variability. Ten university students(age $24.0{\pm}0.25$, height $172{\pm}3.1cm$, weight $66{\pm}5.3kg$) were participated in dual task experiments which consist of both walking alone and walking with a cognitive task. Two-back task was selected for the cognitive task since it did not have learning effect during the experimental procedure.3D motion analysis system was used to measure subject's position data by changing walking speed with 4.8, 5.6, 6.4, 6.8, and 7.2 km/hr. Stride rate was calculated by the time between heel contact and heel contact. Accuracy rate of a cognitive task during walking, coefficient of variance, allometric scaling methods and Fano factor were used to estimated the stride rate variability. As the walking speed increased, accuracy rate decreased and the logarithmic value of Fano factor increased which showed the statistical difference. Thus it can be concluded that the gait control mechanism is distracted by the secondary attention focus which is the cognitive task ie. two-back task. Further study is needed to clarify this by increasing the number of subject and experiment time.

• Korean Journal of Applied Biomechanics
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• v.18 no.1
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• pp.169-178
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• 2008

The goals of this study were to provide data of 3 dimensional ground reaction force(GRF) parameters during stair ascent and descent on three different stair runs and to investigate variability and asymmetry index of them. 10 healthy adults participated in this study and performed 7 different types of gait with 10 trials each. After data analysis, following results were found. Firstly, stair run did not affect on the pattern of GRF parameters, coefficient of variation and asymmetry index. Secondly, a significant different GRF pattern was found between level walking and stair walking. Especially, ascending stair walking has only large Fz1 and small Fz3 while level walking and descending stair walking have a "M" shape connected by Fz1, Fz2 and Fz3. Thirdly, only vertical GRF parameters of stair walking revealed acceptable coefficient of variation and asymmetry index.

• Journal of Korean Foot and Ankle Society
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• v.21 no.3
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• pp.79-82
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• 2017

Metatarsalgia is one of the most common causes of patients complaining of pain in their feet. This pain is the plantar forefoot, including the second to fourth metatarsal heads and arises from either mechanical or iatrogenic causes. On the other hand, it is frequently accompanied by a deformity of the toes as well as of the first and fifth rays. The pain has a variety of causes, and sometimes the cause is difficult to distinguish. The variability of possible causative factors necessitates an individualized approach to treatment. To determine these causes, this paper presents an overview of the gait mechanics, plantar pressure, and the classification according to the etiology.

• Physical Therapy Rehabilitation Science
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• v.6 no.2
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• pp.77-82
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• 2017

Objective: Swimming and water-based exercise (WE) programs can provide vigorous physical activity in a fun and a motivating environment. The properties of water, may make it easier for children with cerebral palsy (CP) to move and to participate in an WE program. The aims of this study was to evaluate the effect of WEs on postural control in children with spastic CP. Design: Quasi-experimental design (one group pretest-posttest design). Methods: Twenty preschoolers with spastic CP participated in this study. Prior to the application, sufficient warm-up training was performed to allow the subjects to adapt to the water. Afterwards, three different types of underwater leg exercises for the flexor, extensor, and adductor/abductor of muscles of the lower limb were performed. The WE program lasted during 8 weeks, with one-40 minute sessions per week (8 training session). The usual care was performed during the training session. The Korean-trunk control measurement scale (K-TCMS) and weight distribution variability (difference of both Fz) were measured before and after training session. Results: According to the results, the K-TCMS scores of the three sub-levels, including static sitting, dynamic sitting, and dynamic reaching, was significantly increased after the training session (p<0.05). Also, the weight distribution variability was significantly decreased after 8 weeks (p<0.05). Conclusions: We suggest that WEs may improve the postural control ability in children with spastic CP. Furthermore, we support the need for additional research on the effect of WE on gait or activity of daily living performance with a control group included.

• Journal of Internet Computing and Services
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• v.11 no.6
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• pp.13-20
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• 2010

This paper presents a measure to classify healthy persons and Parkinson disease patients from the foot pressure of healthy persons and that of Parkinson disease patients using gait analysis based characteristics extraction and Neural Network with Weighted Fuzzy Membership Functions (NEWFM). To extract the inputs to be used in NEWFM, in the first step, the foot pressure data provided by the PhysioBank and changes in foot pressure over time were used to extract four characteristics respectively. In the second step, wavelet coefficients were extracted from the eight characteristics extracted from the previous stage using the wavelet transform (WT). In the final step, 40 inputs were extracted from the extracted wavelet coefficients using statistical methods including the frequency distribution of signals and the amount of variability in the frequency distribution. NEWFM showed high accuracy in the case of the characteristics obtained using differences between the left foot pressure and the right food pressure and in the case of the characteristics obtained using differences in changes in foot pressure over time when healthy persons and Parkinson disease patients were classified by extracting eight characteristics from foot pressure data. Based on these results, the fact that differences between the left and right foot pressures of Parkinson disease patients who show a characteristic of dragging their feet in gaits were relatively smaller than those of healthy persons could be identified through this experiment.