• PNF and Movement
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• v.6 no.1
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• pp.21-25
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• 2008

Purpose : The purpose of this study was conducted to find out observation at gait analysis of the stroke patient with proprioceptive neuromuscular facilitation(PNF) concept. Methods : This is a literature study with books, seminar note and international PNF course book. Results : Stroke patient gait was poor initial contact by weakness of tibialis anterior or weakness of contralateral plantar flexor, poor loading response by loss of deep sensation, poor mid stance by loss of deep sensation, weakness of tibialis anterior and weakness of plantar flexors eccentric control, poor terminal stance, pre-swing, initial swing by loss of deep sensation and stiffness fo deep toe flexors. Conclusion : Stroke patient gait determine on loss of mobility, pain, fear, trunk muscle weakness, loss of coordination, loss of deep sensation, neglect and apraxia. Therefore observational gait analysis of the stroke patient focus on gait cycle and take out hypotheses from the gait cycle. These hypotheses have to define accept or not by parameters. Treatment plan made with the hypotheses.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.7 no.2
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• pp.75-84
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• 2013

In this study, the patterns and characteristics according to gait cycle were analyzed using to EMG signals during walking, and analyzed in the time domain and frequency domain. The experiments was performed divide to level-ground walking and stair walking, and gait cycle was analysis by stance and swing. In the sagittal plane by using the tilt sensor measures the angle of the lower leg, and EMG was measured from the quadriceps and biceps femoris. The tilt of the lower leg was showed the biggest tilt at HS, and showed lowest value at TO. All in walking according to the gait cycle IEMG showed a specific pattern, and is expected useful to determine the gait cycle and kind. In the frequency domain analysis was using STFT on able to frequency analysis according to time, and using the tilt sensor was identify gait cycle. We analyzed also spectrum of the results of the STFT in all gait types, and recognized that stance had broad bandwidth than that of swing. Through this study, it was confirmed the possibility of judgment and analysis of the gait cycle using EMG and the tilt in the sagittal plane of the lower leg. When used it, can improve the quality of life of amputation patients

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.923-926
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• 2000

This paper concerned with the patterns of foot-floor contact and electromyography activities of the lower extremity of the body during the termination of human gait. The termination of human gait is defined as the transition from a steady-state gait to a quiet standing posture. The transition between these two states has not been extensively studied and defined. There appears to be a critical period in the gait cycle that the decision to terminate gait or continue to take an additional step must be made.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.05a
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• pp.132-135
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• 2002

In the present study, an electro-mechanical KAFO (knee-ankle-foot orthosis) which satisfies both the stability in stance and the knee flexion in swing was developed and evacuated in eight polio patients. A knee joint control algorithm suitable for polio patients who are lack of the stability in pre-swing was also developed and various control systems and circuits were also designed. In addition, knee flexion angles and knee moments were measured and analyzed for polio patients who used the developed KAFO with the three-dimensional motion analysis system. Energy consumption was also evaluated for the developed KAFO by measuring the movement of the COG (center of gravity) during gait. From the present study, the designed foot switch system successfully determined the gait cycle of polio patients and controlled knee joint of the KAFO, resulting in the passive knee flexion or foot clearance during swing phase. From the three-dimensional gait analysis for polio patients, it was found that the controlled-knee gait with the developed electro-mechanical KAFO showed the knee flexion of 40$^{\circ}$∼45$^{\circ}$ at an appropriate time during swing. Vertical movements of COG in controlled-knee gait (gait with the developed electro-mechanical KAFO) were significantly smaller than those in looked knee gait(gait with the locked knee Joint). and correspondingly controlled-knee gait reduced approximately 40% less energy consumption during horizontal walking gait. More efficient gait patterns could be obtained when various rehabilitation training and therapeutic programs as well as the developed electro-mechanical KAFO were applied for polio patients.

• Journal of the Korean Society of Physical Medicine
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• v.15 no.2
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• pp.39-48
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• 2020

PURPOSE: This study examined the effects of integrating transcutaneous electrical nerve stimulation into treadmill gait training by applying functional electrical stimulation on the spasticity, balance, and gait ability of chronic stroke patients METHODS: Twenty participants were assigned randomly to two groups: the treadmill gait training group with applied functional electrical stimulation (FES) with integrated transcutaneous electricalstimulation (TENS) (experimental group, EG, n = 10) and the treadmill gait training group with FES (control group, CG, n = 10). Both groups received treadmill gait training with FES for 30 minutes a time, four times a week, during five weeks. The experimental group received additional TENS on their L3, L5, and S2 dermatome for 30 minutes before the interventions. The spasticity, balance, and gait ability were evaluated before and after the training to compare the intergroup and intragroup changes. RESULTS: Both groups showed significant improvements in the static, dynamic balance, and gait ability (p < .05), but did not show any significant changes in the muscle tone. The EG showed significant improvements in the static balance ability and gait cycle compared to the CG (p < .05). CONCLUSION: Treadmill gait training combined with FES with integrated TENS is an effective method for improving the static balance and gait cycle. On the other hand, the effects of treadmill gait training with FES on spasticity need to be studied further.

• Journal of Biomedical Engineering Research
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• v.30 no.6
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• pp.516-520
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• 2009

The purpose of this study is to determine optimal filtering condition and threshold for the detection of gait-cycles for various walkway slopes as well as gait velocities. Ten young healthy subjects with accelerometer system on thigh and ankle walked on a treadmill at 9 conditions (three speeds and three slopes) for 5 minutes. Two direction signals, i.e. anterior-posterior (AP) and superior-inferior (SI) directions, of each sensor (four sensor orientations) were used to detect specific events of gait cycle. Variation of the threshold (from -1G to 1G) and lowpass cutoff frequency (fc) were applied to the event detection and their performance was evaluated according to the error index (EI), which was defined as the combination of the accuracy and false positive rate. Optimal fc and threshold were determined for each slope in terms of the EI. The optimal fc, threshold and their corresponding EI depended much on the walkway slope so that their coefficients of variation (CV) ranged 19~120%. When all data for 3 slopes were used in the identification of optimal conditions for each sensor, the best error indices for all sensor orientations were comparable ranging 1.43~1.76%, but the optimal fc and threshold depended much on the sensor position. The result indicates that the gait-cycle detection robust to walkway slope is possible by threshold method with well-defined filtering condition and threshold.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.10a
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• pp.635-636
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• 2009

• Journal of Biomedical Engineering Research
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• v.41 no.3
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• pp.121-127
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• 2020

The purpose of this paper is to review the validation on the application of low frequency IMU(Inertial Measurement Unit) sensors by replacing high frequency motion analysis systems. Using an infrared-based 3D motion analysis system and IMU sensors (22 Hz) simultaneously, the gait cycle and knee flexion angle were measured. And the accuracy of each gait parameter was compared according to the statistical analysis method. The Bland-Altman plot analysis method was used to verify whether proper accuracy can be obtained when extracting gait parameters with low frequency sensors. As a result of the study, the use of the new gait assessment system was able to identify adequate accuracy in the measurement of cadence and stance phase. In addition, if the number of gait cycles is increased and the results of body anthropometric measurements are reflected in the gait analysis algorithm, is expected to improve accuracy in step length, walking speed, and range of motion measurements. The suggested gait assessment system is expected to make gait analysis more convenient. Furthermore, it will provide patients more accurate assessment and customized rehabilitation program through the quantitative data driven results.

• The Journal of Korean Physical Therapy
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• v.15 no.4
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• pp.384-397
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• 2003

The purpose of this study was to investigate the effect of Treadmill Training on WISCI level, walking velocity, walking endurance, motor score and gait cycle of spinal cord injury patient with incomplete. Four subjects with spinal cord injury participated in this study. They took walking excercise 5 times per week for 8 weeks. One time excercise spent 30minutes. The theraputic effect was evaluated by WISCI level, walk 10 meters test, walk for 12 minutes test, motor score and gait cycle. Four subjects were examined before, after 8 week, walking training. Collected data were statistically analyzed by SPSS PC for Wilcoxon signed rank test. The results of this study are as follows; 1) In WISCI level, walking velocity, walking endurance and motor score, post - treatment score were higher compared to pre-treatment score with statistical significance(p<0.05). 2) In Rt SLS, DLSII and Lt SLS, post-treatment percentage were higher compared to pre-treatment percentage with statistical significance(p<0.05). but DLSI were not statistical significance(p>0.05). The findings suggest that spinal cord injury patients with incomplete can improve their WISCI level, walking velocity, walking endurance, motor score and gait cycle through Treadmill gait training.

• Journal of Institute of Control, Robotics and Systems
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• v.18 no.7
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• pp.644-649
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• 2012

This paper proposes the gait phase classifier using backpropagation neural networks method which uses the angle of lower body's joints and ground reaction force as input signals. The classification of a gait phase is useful to understand the gait characteristics of pathologic gait and to control the gait rehabilitation systems. The classifier categorizes a gait cycle as 7 phases which are commonly used to classify the sub-phases of the gait in the literature. We verify the efficiency of the proposed method through experiments.