• Journal of Korean Clinical Nursing Research
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• v.16 no.3
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• pp.5-23
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• 2010

Purpose: This study was conducted to determine the validity and reliability of performance measurement tools based on the nursing process for prevention and management of pressure ulcers, falls and pain. Methods: The performance measurement tools were reviewed by a panel of experts and refined on the basis of the panel's suggestions. The validity of the performance measurement tools was measured by surveying hospital nurses. The reliability of these tools was tested by having nursing experts use the tools in five nursing units to assess nursing performance in prevention and management of pressure ulcers, falls and pain. Results: The performance measurement tools in this study were found to be acceptable as tools to evaluate quality of nursing care in pressure ulcers, falls and pain. The reliability of the performance measurement tools was acceptable. Conclusion: These results indicate that the performance measurement tools developed in this study are valid and reliable instruments to monitor and improve quality of nursing care in prevention and management of pressure ulcers, falls and pain.

• Korean Journal of Applied Biomechanics
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• v.18 no.2
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• pp.59-64
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• 2008

D. W. KANG, J. S. CHOI, and G. R. TACK, A Study on Real-Time Sports Activity Classification & Monitoring Using a Tri-axial Accelerometer. Korean Jouranl of Sport Biomechanics, Vol. 18, No. 2, pp. 59-64, 2008. This study was conducted to study the real-time sports activity classification and monitoring using single waist mounted tri-axial accelerometer. This monitoring system detects events of sports activities such as walking, running, cycling, transitions between movements, resting and emergency event of falls. Accelerometer module was developed small and easily attachable on waist using wireless communication system which does not constrain sports activities. The sensor signal was transferred to PC and each movement pattern was classified using the developed algorithm in real-time environment. To evaluate proposed algorithm, experiment was performed with several sports activities such as walking, running, cycling movement for 100sec each and falls, transition movements(sit to stand, lie to stand, stand to sit, lie to sit, stand to lie and sit to lie) for 20 times each with 5 healthy subjects. The results showed that successful detection rate of the system for all activities was 95.4%. In this study, through sports activity monitoring. it was possible to classify accurate sports activities and to notify emergency event such as falls. For further study, the accurate energy consumption algorithm for each sports activity is under development.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.10
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• pp.3726-3732
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• 2010

The purpose of this study was to investigate the effects of health exercise program to old Women's walking ability, depression and WHOQOL-BREF. Data were collected from April to June, 2007 from the falls experienced 70 women elderly. All subjects participated in 12 week health exercise program which was designed in order to develop walking ability. The data were analyzed using frequency, %, paired t-test. The results of this study were as followings; First, there was significant differences in the average time of chair stand (t=2.291, p=.025), one leg standing(Rt. leg)(t=2.236, p=.029), step length between before and after(t=4.015, p=.000) training of 12 week health exercise program. Second, there was non significant differences in depression(t=1.044, p=.300) but, significant differences in WHOQOL-BREF(t=3.528, p=.001). The WHOQOL-BREF in general quality of life(t=2.923, p=.005), physical(t=3.039, p=.003), psychological(t=2.481, p=.016), social(t=2.531, p=.014) and environment domain(t=4.259, p=.000) were significant differences. The results suggest that the 12 week health exercise program can improve the muscle endurance and balance, QOL.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.131-138
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• 2018

The purpose of the study was to explore whether the Cyber Motion sickness used VR causes a change in the dynamic balance and fall. For 39 people who voluntarily participated in this study, this study measured the motion sickness questionnaires, the heart rate and stability of limit test in BioRescue. The study used Samsung Gear VR and applied the games to the To the homeland. The game proceeded 20minutes. Although the value of the stability after a VR application is slightly reduced, it did not reach statistical significance. The motion sickness questionnaires increased, and it had a statistical significant impact. Also Heart rate increased and it had a statistically significant impact. A virtual reality game affect for getting motion sickness but it did not affect the dynamic balance. So, cyber motion sickness caused by virtual reality wear does not result in decreased balance and falls.

• The Journal of the Korea Contents Association
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• v.11 no.11
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• pp.194-203
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• 2011

This study investigated the effectiveness of visual biofeedback simulation training for patients with incomplete spinal cord injuries. Fifteen people with an ASIA impairment scale of C and D, according to the intervention method, were studied. They were randomly divided into two groups, seven people in the experimental group and eight people in the control group. They were studied three times a week for six weeks using a Tetrax Interactive Balance System, for a total of eighteen times, and each test took fifteen minutes. Paired t-tests were used to evaluate the changes before and after intervention. The difference between the groups was compared using an independent t-test. The experimental group showed significantly increased general stability, fall risk index, weight distribution (A, C, D, LEFT, HEEL) and weight distribution index, except for synchronization AC, BD. However, the control group only showed significantly increased weight distribution (A, C, LEFT). In a variation, experimental and control groups showed significantly increased weight distribution (A, B, C, HEEL), general stability, fall risk index and synchronization AD. Consequently, it was found that visual biofeedback simulation training was effective for the balance ability of incomplete spinal cord injury patients, and further studies are required.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.619-625
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• 2023

In this paper, the remote care of medical beds with multiple body pressure sensors is described. Falling is one of the factors that seriously threaten the safety of patients and harm their health. In this study, a new bed was developed to overcome this. The bed system consists of a keyboard that can operate, a keyboard controller that manages the movement of the keyboard, a sensor that measures body pressure, a sensor controller that transmits and receives sensor values, a main controller that checks it and operates automatically or manually according to the algorithm, and a server that oversees all these information. The bed system checks the patient's location through a sensor and wirelessly alerts the server through the main controller when the patient determines that there is a risk of falling, so that the nurse or nurse can recognize the patient's dangerous condition. The server may receive state data transmitted from the wired/wireless terminal to monitor whether the bed system is operating normally. The controller of the keyboard operates a keyboard-type mechanism and automatically controls the prevention of bedsores connected by body pressure sensors to physically separate the area to which the patient's pressure is applied to prevent bedsores. The main controller checks the presence of the patient's bed and transmits it to the server. In conclusion, the proposed system can smart monitor the user's state and perform remote care.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.2
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• pp.76-83
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• 2022

With the recent development of IT technology, research and interest in various biosignal measuring devices is increasing. As an aging society is in full swing, research on the elderly population using IT-related technologies is continuously developing. This study is about the development of life pattern detection and fall detection algorithm, which is one of the medical service areas for the elderly, who are rapidly developing as they enter a super-aged society. This study consisted of a system using a 3-axis accelerometer and an electrocardiogram sensor, collected data, and then analyzed the data. It was confirmed that behavioral patterns could be classified from the actual research results. In order to evaluate the usefulness of the human activity monitoring system implemented in this study, experiments were performed under various conditions, such as changes in posture and walking speed, and signal magnitude range and signal vector magnitude parameters reflecting the acceleration of gravity of the human body and the degree of human activity. was extracted. And the possibility of discrimination according to the condition of the subject was examined by these parameter values.

• 한국노년학
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• v.30 no.4
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• pp.1293-1309
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• 2010

This study is aimed to evaluate the effects of community-based prehabilitation program developed to prevent functional decline in the frail elderly and to provide a basis to practically operate this program in the public health care service. From March to August 2009, 110 frail elderly people were recruited among the registered participants of the home visit program in Korea to perform a prospective randomized community trial. We randomly assigned these people into two groups. One group (n=50) participated in the visiting prehabilitation program for 3 months focusing on improving their muscle strength of upper and lower limbs, walking ability, and balancing. The other group (n=60) underwent our visiting fall prevention program for control. To assess the effectiveness of prehabilitation program, physical functioning (PF) and short physical performance battery (SPPB) were measured for the primary outcomes and also some other indicators: exercise performance, nutritional status, emotional functioning, experience of admission, and events of fall. As a result, significant improvements of geriatric functional status were noticed among the participants. After 3 months, PF increased by 1.3 ± 3.8 points in prehabilitation group and decreased by 1.1 ± 5.4 points in controls (p=.020). SPPB improved by 2.4 ± 2.0 points in prehabilitation group and increased only 0.3 ± 1.5 points in controls (p<.001). Significant effects were also shown in their exercise performance tests and emotional status, the number of multiple falls, and the experience of functional decline after the fall (p .002-.038). Visiting prehabilitation program is safe and effective program for frail older adults. Thus, it is strongly recommended to universally adopt this program to prevent functional decline in the frail elderly.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.05a
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• pp.294-294
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• 2004

최근 평균수명의 연장에 따른 사회 노년층의 증가로 낙상사고의 빈도가 높아지고 있으며, 또한 교통사고 발생이 빈번함에 따라 전정계 이상 및 체성감각계의 기능 손상에 의한 자세균형 환자가 점점 증가하고 있는 추세이며, 이러한 균형 제어력의 소실이 환자의 재활치료에 많은 어려움을 초래하고 있다. 자세균형제어에 관한 연구는 주로 힘판을 이용하여 특정 감각시스템으로부터의 입력을 제한하거나 외력에 의해 평형 유지를 방해했을 때, 신체 전이(displacement), 압력중심의 움직임(Center Of Pressure; COP), 자세 유지 시 작용하는 근육의 활동전위 등을 측정하는 연구와 더불어 균형에 어려움을 느끼는 환자를 위한 바이오피드백(Biofeedback)을 적용한 연구가 보고되고 있다.(중략)

• The Journal of Korea Robotics Society
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• v.19 no.2
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• pp.213-220
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• 2024

Fall detection and prevention technologies play a pivotal role in ensuring the well-being of individuals, particularly those living independently, where falls can result in severe consequences. This paper addresses the challenge of accurate and quick fall detection by proposing a Bayesian probability-based measure applied to surface electromyography (sEMG) signals. The proposed algorithm based on a Bayesian filter that divides the sEMG signal into transient and steady states. The ratio of posterior probabilities, considering the inclusion or exclusion of the transient state, serves as a scale to gauge the dominance of the transient state in the current signal. Experimental results demonstrate that this approach enhances the accuracy and expedites the detection time compared to existing methods. The study suggests broader applications beyond fall detection, anticipating future research in diverse human-robot interface benefiting from the proposed methodology.