• 재활복지공학회논문지
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• 제9권4호
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• pp.301-308
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• 2015

본 연구는 정상 성인 20명을 대상으로 복부 안정화에 영향을 미치는 노르딕 워킹과 파워 워킹을 2주간 집중 시행한 후, 복부중심 근육(배속빗근, 배바깥빗근, 배가로근)의 활성도 및 두께, 그리고 복부 피하지방의 두께 변화를 비교하였다. 연구 결과, 근전도를 이용한 배속빗근과 배바깥빗근의 근활성값은 노르딕 워킹과 파워 워킹군 모두에서 훈련 후 높게 나타났으며, 특히 노르딕 워킹 훈련군의 경우 파워 워킹 훈련군에 비해 통계학적으로 유의하게 높은 근활성도의 변화를 보였다. 초음파를 이용한 배가로근과 배속빗근, 배바깥빗근의 두께는 노르딕 워킹 훈련군과 파워 워킹 훈련군 모두에서 통계학적으로 유의한 증가를 나타내었으나 군간 변화 차이는 없었다. 노르딕 워킹은 스틱을 이용하여 균형 안정감을 제공하며 상지와 하지의 큰 움직임을 통해 복부 안정화를 유도하는 효과적인 훈련방법으로써 다양한 재활운동의 형태로 적용하기에 유용할 것으로 여겨진다.

• 한국전문물리치료학회지
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• 제15권3호
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• pp.35-43
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• 2008

The purpose of this study was to compare spatio-temporal parameters during walking between patients with idiopathic Parkinson's disease and a control group matched for age, height, and weight. Thirty-three subjects were included in this study. Fifteen normal subjects (age, $63.3{\pm}5.8$ yrs; height, $164.1{\pm}8.7$ cm; weight, $60.7{\pm}17.5$ kg) and eighteen patients (age, $64.0{\pm}7.7$ yrs; height, $164.7{\pm}7.3$ cm; weight, $63.6{\pm}7.7$ kg) participated in the study. The Vicon 512 Motion analysis system was used for gait analysis in each group during walking, with and without an obstacle. The measured spatio-temporal parameters were cadence, walking speed, stride time, step time, single limb support time, double limb support time, stride length, and step length. Results in stride length and step length, when walking without an obstacle, showed a significantly greater decrease in the patient group compared to the control group. During walking with an obstacle, the patient group showed a significantly greater decrease in the step length as compared to the control group. For the control group, there were significant decreases in parameters of cadence and walking speed and increases in parameters of stride time, step time, and single limb support time when walking with an obstacle. The patient group had lower cadence and walking speed and higher stride time, step time, and single limb support time during walking with an obstacle than in walking without an obstacle. These results suggest that patients with Parkinson's disease who walk over an obstacle can decrease cadence, stride length, and step length. Further study is needed, performed with more obstacles and combined with other external cues, such as visual or acoustic guides.

• The Journal of Korean Physical Therapy
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• 제11권1호
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• pp.95-102
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• 1999

In hemiplegic gait, walking speed is an important factor to evaluate treatment effect. The purpose of this study was to describe and compare kinematic variables during differant speed hemiplegic gaits. Six hemiplegic patients(47-69 years old) after stroke and age - matched six volunteers in good health(51-61 years old) were studied. The patients were sorted into two groups, depending on their self - speed of walking : fast speed group(3 patients, $0.74\pm0.14m/s$) and slow speed group(3 patients, $0.29\pm0.09m/s)$. The results were following. 1. In the hip joint, the fast group had lower mean value than normal but had similar pattern to normal. The slow group had continuous flexed pattern. 2. In the knee joint, the fast group had similar mean value and pattern to normal. The slow group had continuous flexed pattern. 3. In the ankle joint, the two group had dorsiflexed pattern. The fast group had similar pattern to normal. Thus, the fast group was similar gait pattern to normal.

• 대한인간공학회지
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• 제29권3호
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• pp.357-364
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• 2010

This study proposes a lower-limb exoskeleton system that is controlled by a wearer's muscle activity. This system is designed by following procedure. First, analyze the muscle activation patterns of human leg while walking. Second, select the adequate actuator to support the human walking based on calculation of required force of knee joint for step walking. Third, unit type knee and ankle orthotics are integrated with selected actuator. Finally, using this knee-assistive system (KAS) and developed muscle stiffness sensors (MSS), the muscle activity pattern of the subject is analyzed while he is walking on the stair. This study proposes an operating algorithm of KAS based on command signal of MSS which is generated by motion intent of human. A healthy and normal subject walked while wearing the developed powered-knee exoskeleton on his/her knees, and measured effectively assisted plantar flexor strength of the subject's knees and those neighboring muscles. Finally, capabilities and feasibility of the KAS are evaluated by testing the adapted motor pattern and the EMG signal variance while walking with exoskeleton. These results shows that developed exoskeleton which controlled by muscle activity could help human's walking acceptably.

• 한국운동역학회지
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• 제31권1호
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• pp.50-58
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• 2021

Objective: This study aimed to determine the effect of wrist and trunk weight loading using sandbags in stroke patients in order to provide the quantitative data for enhancement of gait movement. Method: Twelve stroke patients, who have been diagnosed with hemiplegia over a year ago, were participated in this study. All subjects were asked to perform normal walking [N], wrist sandbag walking [W], wrist & trunk sandbag walking [WT], and both wrist sandbag walking [B] and both wrist & trunk sandbag walking [BT], respectively. Eight infrared cameras were used to collect the raw data. Gait parameters, arm swing, shoulder-pelvic kinematics, and lower extremity joint angle were calculated to examine the differences during walking. Results: As a result, there were no significant differences in the gait parameters, shoulder-pelvis, and lower extremities joint angles, but significant differences were found in the range of motion and the anteversion in arm swing. Conclusion: Wrist and trunk weight loading using sandbags affected the movement of the upper extremities only while it did not affect the movement of the lower extremities. It implies that it can reduce the risk of falling caused by a sudden movement change in lower extremities. In addition, the wrist and trunk weight loading using sandbags can induce changes in movement of the upper extremities independently and contribute to functional rehabilitation through resistance training.

• Journal of Electrical Engineering and Technology
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• 제12권1호
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• pp.396-401
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• 2017

In this paper, a device to analyze gait pattern was developed by using a 2-axis acceleration sensor attached to the foot. The 1st low-pass filter was adapted to limit the frequency band up to 5 Hz. An algorithm to detect the peak value exceeding the threshold voltage of an X-axis acceleration sensor and a Z-axis acceleration sensor was developed and normal and abnormal walking patterns were thus differentiated. Also, MCU and Bluetooth were combined to transfer the data to other MCUs to display on an LCD; the size of the device could then be reduced. The new algorithm and the device allowed the individual walking patterns to be easily measured at a low cost and with less restriction on activities compared to conventional multiple pressure sensors or motion camera system.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회A
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• pp.792-795
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• 2007

To quantify irregular body motions the time series analysis was applied to the gait study. The motions obtained from gait experiment are complex to exhibit nonlinear behaviors. The purpose of this study is to measure quantitatively the characteristics of the major six joints of the body during walking. The gait experiments were carried out for eighteen young males walking on a motor driven treadmill. Joint motions were captured using eight video cameras, and then three dimensional kinematics of the neck and the upper and lower extremities were computed by KWON 3D motion analysis software. The largest Lyapunov exponent was calculated from the time series to quantify stabilities of each joint. The results provides a data set of nonlinear dynamic characteristics for six joints engaged in normal walking.

• 대한기계학회논문집A
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• 제31권8호
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• pp.889-895
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• 2007

Quantifying dynamic stability is important to assessment of falling risk or functional recovery for leg injured people. Human locomotion is complex and known to exhibit nonlinear dynamical behaviors. The purpose of this study is to quantify major joints of the body using chaos analysis during walking. Time series of the chaotic signals show how gait patterns change over time. The gait experiments were carried out for ten young males walking on a motorized treadmill. Joint motions were captured using eight video cameras, and then three dimensional kinematics of the neck and the upper and lower extremities were computed by KWON 3D motion analysis software. The correlation dimension and the largest Lyapunov exponent were calculated from the time series to quantify stabilities of the joints. This study presents a data set of nonlinear dynamic characteristics for eleven joints engaged in normal level walking.

• 대한물리치료과학회지
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• 제27권3호
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• pp.67-74
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• 2020

Background: The purpose of this study was to investigate the change of lower limb muscle activation according to the use of arm sling in normal subjects. Design: Cross-sectional Study Methods: Seven healthy subjects (6 males and 1 female, 25.42 years, 173.57 cm, 71.71 kg) were recruited on a voluntary basis. To measure the lower limb muscle activation during walking with and without arm sling, we used a wireless surface electromyography (sEMG) (FreeEMG1000, BTS Bioengineering, Milano, Italy). Six wireless sEMG electrodes were attached to the following three major muscle groups of the both side lower limb: rectus femoris, biceps femoris, medial gastrocnemius. All subjects wore arm sling on their right side during measurement. Results: In the stance phase, there was a significant increase in right side rectus femoris muscle activation in walking without arm sling compared to the walking with arm sling (p<.05). Additionally, In the stance phase, there was a significant increase in left side tibialis anterior muscle activation in walking without arm sling compared to the walking with arm sling (p<.05). Conclusion: The results of this study suggest that there is a significant association between the arm swing restriction and lower limb muscle activation. Therefore, it seems that it can be applied as basic data for gait training with an arm slings.

• 전기학회논문지
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• 제66권12호
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• pp.1810-1814
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• 2017

This paper develops an approach to the algorithm of Gait pattern Analysis and step measurement with Multi-Pressure Sensors. The process of gait consists of 8 steps including stance and swing phase. As 3 parts of foot is supporting most of human weight, multiple pressure sensors are attached on the parts of foot: forefoot, big toe, heel. As 3 parts of foot is supporting most of human weight, multiple pressure sensors are attached on the parts of foot: forefoot, big toe, heel. normal gait proceed from heel, forefoot and big toe over time. While normal gait proceeds, values of heel, forefoot and big toe can be changed over time. So Each values of pressure sensors over time could discriminate whether it is normal or abnormal gait. Measuring Device consists of non-inverting amplifiers and low pass filter. Through timetable of values, normal gait pattern can be analyzed, because of supported weight of foot. Also, the peak value of pressure can judge whether it is walking or running. While people are running, insole of shoes is floating in the air on moment. Using this algorithm, gait analysis and step count can be measured.