• 한국운동역학회지
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• 제13권3호
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• pp.163-180
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• 2003

This paper aims at collecting the guantitative data of kenematic variables by analysing the gait patterns of the normal adult men and the handicapped. The gait motions were taped with 4 video cameras, the cinematographic analyses were performed by the DLT technique of three dimensional image treatment. The following results were obtained in the analysis of the variables: 1. The ratio of stance time and swing time did not show any significant difference in the groups of the normal men and the handicapped when both foot of the former and the right feet of the latter were compared. The stride peeriod time of these two groups were 1.12 and 1.11 second, respectively. 2. In the handicapped group, the step width was wider, the step length and stride length were shorter, and especially, the step length of the right foot was shorter, 3. The small vertical displacement of left toes of the handicapped group showed that the heal contact and the left midstance are almost simultaneous. 4. The two groups have almost the same horizontal displacement of the center of gravity and the same vertical rate of extension. In view of the velocity of the center of gravity the normal adults showed the constant speed of movement. However, the handicapped adults were reduced from the right midstance to the right toe-off. 5. The handicapped showed prominently low angle on the left toe-off in the ankle joint angle, they also had the tendency to walk in the patterns of extended knee in the knee joint angle. Both the handicapped and the normal had the hyperextension on the toe-off in the hip joint angle. In the back and front angle of body, both showed the slightly back-sided walking positions. 6. Both groups had the abduction of both feet in foot placement angle, but the handicapped did not show serious abduction of left midstance.

• 센서학회지
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• 제18권6호
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• pp.449-455
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• 2009

In this paper, we developed a digital gait analyzer using the triaxial accelerometer(TA). An approach for normal gait detection employing decay slope peak detection(DSPD) algorithm was presented. The TA was attached to the center of the waist of a subject. The subject walked a bare floor at 60, 92 and 120 steps/minute. We analyzed vertical axis acceleration signal for gait detection. At 60, 92, 120 steps/minute walking, detection accuracy of gait events were over 99 % accuracy.

• 전기학회논문지
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• 제63권4호
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• pp.541-545
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• 2014

In this paper, the angle of the thighs that appear during walking condition to balance estimation to the left and right leg was occurred during normal walking. Get over to the limitations of gait analysis using image processing or foot pressure that was used a lot in the previous, the angle of the thigh were used for estimation of asymmetric gait. We implemented heathy five adult male to test targeting and gait and obtained cycle data from 10 times. For this research, Thigh-Angle measurement device were developed, and attached to in a position of $20^{\circ}$ for flexion and $15^{\circ}$ for extension to measure the angle of the thigh. Also, in order to verify the reliability of estimation of asymmetric gait using thigh-angle, it was compared with the result of asymmetric gait estimation using foot pressure. The results of this paper, using the thigh angle is the average of 16.84% higher than using pressure to accuracy of determine the gait imbalance.

• 대한한방내과학회지
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• 제35권4호
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• pp.498-504
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• 2014

Objectives: This study investigated the change of foot rotation angle of gait analysis parameters according to gait improvement in post-stroke hemiplegic patients. Methods: We measured the foot rotation angle of eight post-stroke hemiplegic patients at the time of dependent and independent gait. Results: The foot rotation angle of the paralyzed side reduced closer to normal average according to gait improvement, but the non-paralyzed side not significantly. Conclusions: Improvement of foot rotation is an important thing for independent gait of post-stroke hemiplegic patients so this treatment seems worthy of being considered in clinical trials.

• 재활복지공학회논문지
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• 제10권2호
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• pp.155-162
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• 2016

본 연구에서는 보행 시 발생되는 근전도를 이용하여 보행 시 보행불균형 상태를 판단하고자 한다. 보행불균형 상태 판단시스템의 실효성 확인을 위해 인코더와 가속도, 근전도 센서 기반의 보행 불균형 판단 시스템을 제안한다. 건강한 성인 남성 10 명을 대상으로 실험을 진행하였다. 보행 신호를 획득하기 위해 고관절과 슬관절에 인코더 센서를 부착하고, 발목에 가속도 센서, 외측광근과 전경골근에 근전도 센서를 부착하였다. 보행 불균형을 판단하기위해 SI(Symmetry Index)를 사용하였다. 정상보행과 불균형보행을 측정하기 위해 한쪽 발에 인위적으로 1.5 cm의 굽을 추가해가며 0 cm부터 6 cm까지 5번의 실험을 반복하였다. 인코더와 근전도의 경우 0 cm의 정상보행과 1.5 cm의 불균형보행을 정상보행으로 판단하였고 3 cm와 4.5 cm, 6 cm의 불균형보행은 불균형보행으로 판단하였다. 가속도의 경우 0 cm와 1.5 cm, 3 cm의 불균형보행을 정상보행으로 판단하였고 4.5 cm와 6 cm의 불균형보행을 불균형보행으로 판단하였다.

• 한국콘텐츠학회논문지
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• 제9권12호
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• pp.674-682
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• 2009

본 연구는 편마비 환자에게 수중 걷기 훈련이 미치는 영향에 대해 알아보고자 10주간 수중 걷기 훈련과 지상 걷기 훈련 후 족저압, 거골하관절의 움직임, 보향각, 보행 속도를 측정하였다. 대상자는 20명으로 수중걷기 훈련 그룹(n=10)이 엄지발가락 영역, 뒤꿈치영역, 발허리부분의 족저압이 유의하게 증가하였고, 거골하관절의 움직임과 보향각이 안정화되었으며, 보행 속도 또한 증가함을 보였다. 보행 속도의 증가와 거골하 관절의 움직임 안정화와 보향각의 감소는 수중 걷기가 편마비 환자의 보행 속도 뿐만아니라 보행의 안정화에도 영향을 미친다고 생각되어진다. 또한 엄지발가락 영역과 뒤꿈치 영역의 족저압 증가는 보행시 뒤꿈치 닿기와 발가락 밀기 동작의 회복으로 해석되어진다. 이와 같은 결과로 볼때, 현재 사용되고 있는 치료사에 의한 전문적인 물리치료를 받지 못하는 환자들의 경우 스스로 수중 걷기 훈련만으로도 지상 걷기에 비하여 많은 효과를 볼 수 있을 것으로 기대된다.

• 대한의용생체공학회:의공학회지
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• 제28권2호
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• pp.218-228
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• 2007

Modem concepts of gait rehabilitation after stroke favor a task-specific repetitive approach. In practice, the required physical effort of the therapists limits the realization of this approach. Therefore, a mechanized gait trainer enabling nonambulatory patients to have the repetitive practice of a gait-like movement without overstraining therapists was constructed. In this study, we developed an active gait training system for patients with gait disorder. This system provides joint movements to patients who cannot carry out an independent gait. It provides a normal stance-swing ratio of 60:40 using an eccentric configuration of two gears. Joint motions of the knee and the ankle were evaluated with using the 3D motion analysis system and compared with the results from the multi-body dynamics simulation. In addition, clinical investigations were also performed for low stroke patients during the 6-week gait training. Results from the dynamics simulation showed that joint movements of the knee and the ankle were affected by the gear size, the step length and the length of the foot plate, except the radius of curvature of the foot guide plate. Also, the 6-week gait training revealed relevant improvements of the gait ability in all low subjects. Functional ambulation category levels of subjects after training were 2 in three patients and 1 in a patient. The developed active gait trainer seems feasible as an adjunctive tool in gait rehabilitation after stroke.

• PNF and Movement
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• 제18권2호
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• pp.287-296
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• 2020

Purpose: The study aims were to develop a wearable inertial sensor-based gait analysis device that uses machine learning algorithms, and to validate this novel device using temporal gait parameters. Methods: Thirty-four healthy young participants (22 male, 12 female, aged 25.76 years) with no musculoskeletal disorders were asked to walk at three different speeds. As they walked, data were simultaneously collected by a motion capture system and inertial measurement units (Reseed®). The data were sent to a machine learning algorithm adapted to the wearable inertial sensor-based gait analysis device. The validity of the newly developed instrument was assessed by comparing it to data from the motion capture system. Results: At normal speeds, intra-class correlation coefficients (ICC) for the temporal gait parameters were excellent (ICC [2, 1], 0.99~0.99), and coefficient of variation (CV) error values were insignificant for all gait parameters (0.31~1.08%). At slow speeds, ICCs for the temporal gait parameters were excellent (ICC [2, 1], 0.98~0.99), and CV error values were very small for all gait parameters (0.33~1.24%). At the fastest speeds, ICCs for temporal gait parameters were excellent (ICC [2, 1], 0.86~0.99) but less impressive than for the other speeds. CV error values were small for all gait parameters (0.17~5.58%). Conclusion: These results confirm that both the wearable inertial sensor-based gait analysis device and the machine learning algorithms have strong concurrent validity for temporal variables. On that basis, this novel wearable device is likely to prove useful for establishing temporal gait parameters while assessing gait.

• 한국전문물리치료학회지
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• 제14권4호
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• pp.44-49
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• 2007

The purpose of this study was to investigate the effects of auditory cues in the form of a metronome on gait initiation (GI) in Parkinson's disease (PD). 2 patients (mean age: 54 yrs) with idiopathic PD participated in the study. All patients (Hoehn and Yahr disability score of 2.0) were tested in the "on" state approximately 1.5 hours following the administration and fully responding to their PD medications. Subjects first initiated walking at self-initiated speeds to determine their cadences. Then, subjects were asked to initiate gait along the walkway while keeping pace with a metronome. The metronome rate (in beats/min) was set at a cadence 85% (slow condition), 100% (normal condition) and 115% (fast condition) of gait for each subject. Subjects were able to increase the speed of GI with faster cadence, but the speed of GI for the slow condition was similar to that of the normal condition. Swing toe-off was 578.3 ms for the fast condition, 709.4 ms for the normal condition and 736.2 ms for the slow condition. Respective times for swing heel-strike were 894.3 ms, 1110.2 ms and 1119.1 ms, and stance toe-off were 1105.4 ms, 1338.5 ms, and 1343.1 ms. Except for stance unloading ground reaction forces were greatest for the fast condition and smallest for the slow condition. It appears that PD patients were able to modulate GRFs and temporal events in response to auditory cues to achieve the peak acceleration force of the swing and stance limb. The findings from this study provided preliminary data, which could be used to investigate how PD patients modulate GRFs and temporal events during GI in response to tasks.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집(한일합동학술편); 한국과학기술대학, 충남; 16-17 Oct. 1987
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• pp.797-800
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• 1987

We developed a biofeedback gait training system; a 12 m measuring walkway with a training walker which moves at prescribed velocity. The walkway measures a.11 temporal and distance factors of gait. This system provides visual feedback for distance factors and auditory one for temporal at the prescribed walking velocity. Experiments were performed on normal and degenerative knee joint subjects, and this system was verified to be very useful.