• Journal of rehabilitation welfare engineering & assistive technology
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• v.6 no.2
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• pp.23-30
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• 2012

In this study, we developed a wireless rehabilitation auditory feedback gait training system for symmetrical weight-bearing in patient with CVA. The device consists of an instantaneous shoe equipped with two load-cell sensors. Auditory feedback can be applied according to the weight-bearing. For gait patterns analysis, cadence, walking velocity, stance/swing phase ratio and gait cycle were examined. The clinical test with six healthy volunteers and two hemiplegic patients was performed applying the auditory feedback system. Both normal subjects and hemiplegic patients were increased strength on weight-bearing in affected limb, walking velocity, and cadence after biofeedback device. Also, the stance time with weight-bearing was increased while the swing time was decreased in gait phase. It can be expected that by using the feedback system, the patient with lower limb disorder will be able to reach a better quality of weight-bearing during gait.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.1
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• pp.221-228
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• 2018

Big data is an important keyword in World's Fourth Industrial Revolution in public and private division including IoT(Internet of Things), AI(Artificial Intelligence) and Cloud system in the fields of science, technology, industry and society. Big data based on services are available in various fields such as transportation, weather, medical care, and marketing. In particular, in the field of sports, various types of bio-signals can be collected and managed by the appearance of a wearable device that can measure vital signs in training or rehabilitation for daily life rather than a hospital or a rehabilitation center. However, research on big data with vital signs from wearable devices for training and rehabilitation for baseball players have not yet been stimulated. Therefore, in this paper, we propose a system for baseball infield and outfield players, especially which can store and analyze the momentum measurement vital signals based on big data.

• Journal of the Korean Society for Precision Engineering
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• v.33 no.9
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• pp.753-760
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• 2016

This study was undertaken to develop a bed-type cycling system of lower limbs for rehabilitation. This system consists of two modes of cycling: active and passive. Different velocity and loads are provided for improving the muscle function recovery and increasing the muscular strength. To analyze the muscle activity pattern, we measured muscular activity of lower limbs in the rectus femoris (RF), biceps femoris (BF), tibialis anterior (TA), medial gastrocnemius (MG), and soleus (SOL), while cycling in the supine position, and based on the pedaling direction. A total of 18 young and 23 elderly, healthy subjects participated in this study. Muscle activity of MG muscles was significantly different in the two age groups. This study could provide the reference data to develop cycling exercises for lower limbs during rehabilitation of the elderly patients.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.9 no.4
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• pp.319-329
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• 2015

The purpose of this paper is to analyze lower extremities pattern of daily activities and walking on the treadmill with passive body support system. The experiments will be used for basic research of developing active harness system. The experimental procedure has been validated on 5 healthy male subjects and we measured foot pressure and 8 section of lower limb muscles activities. The EMG results of ADL indicate that there have specific muscle activity patterns followed by each activities. The vastus lateralis muscle activities were highly seems on the activities that requires flection and extension of knee joint. The foot pressure value of stair descent activity was the highest due to the fact that it is come down to the direction of gravity. The results with the passive body weight support percentages show that the EMG and foot pressure values were declined according to increasement of the body weight support percentages. Therefore the body weight support system could apply gait rehabilitation system for various patients by changing the percentages of the body weight support.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.1
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• pp.247-253
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• 2012

The purpose of this study was to evaluate the effects of a visual flow speed's modulation-based VR(virtual reality) program on gait function in stroke patients. Thirty one stroke patients were randomly selected at Dep. of Rehabilitation medicine of M hospital in Seoul. We carried out the gait analysis by dividing them with four conditions : one condition had applied without the visual flow modulation-based VR and another had done three visual flow speed's modulation-based VR(0.25, 1, 2 times). The gait analysis was used with GaitRite system. The data were collected using gait velocity, cadence, stride length, step length, single support time, and double support time during treatment. The results were as follows. First, the slow visual flow(0.25 times)-based VR program on the condition was significant decrease gait velocity, cadence, stride length, step length and increase single support time, double support time(p<.05). Second, the fast visual flow(2 times)-based VR program on the condition was significant increase gait velocity, cadence, stride length, step length, single support time on paretic lower limb and decrease single support time on non-paretic lower limb, double support time(p<.05). Third, the normal visual flow(1 times)-based VR program on the condition was not significant differ gait velocity, cadence, stride length, step length, single support time, double support time. In conclusion, the visual flow speed's modulation-based VR program improves gait function in chronic stroke patients.