Kim, Ye Jin;Jeon, Hye-seon;Park, Joo-hee;Moon, Gyeong-Ah;Wang, Yixin
Physical Therapy Korea
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v.29
no.4
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pp.262-268
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2022
Background: Virtual reality (VR) programs based on motion capture camera are the most convenient and cost-effective approaches for remote rehabilitation. Assessment of physical function is critical for providing optimal VR rehabilitation training; however, direct muscle strength measurement using camera-based kinematic data is impracticable. Therefore, it is necessary to develop a method to indirectly estimate the muscle strength of users from the value obtained using a motion capture camera. Objects: The purpose of this study was to determine whether the pedaling speed converted using the VR engine from the captured foot position data in the VR environment can be used as an indirect way to evaluate knee muscle strength, and to investigate the validity and reliability of a camera-based VR program. Methods: Thirty healthy adults were included in this study. Each subject performed a 15-second maximum pedaling test in the VR and built-in speedometer modes. In the VR speedometer mode, a motion capture camera was used to detect the position of the ankle joints and automatically calculate the pedaling speed. An isokinetic dynamometer was used to assess the isometric and isokinetic peak torques of knee flexion and extension. Results: The pedaling speeds in VR and built-in speedometer modes revealed a significantly high positive correlation (r = 0.922). In addition, the intra-rater reliability of the pedaling speed in the VR speedometer mode was good (ICC [intraclass correlation coefficient] = 0.685). The results of the Pearson correlation analysis revealed a significant moderate positive correlation between the pedaling speed of the VR speedometer and the peak torque of knee isokinetic flexion (r = 0.639) and extension (r = 0.598). Conclusion: This study suggests the potential benefits of measuring the maximum pedaling speed using 3D depth camera in a VR environment as an indirect assessment of muscle strength. However, technological improvements must be followed to obtain more accurate estimation of muscle strength from the VR cycling test.
The purpose of this study was to explore ways a digital therapeutics-based community care plans for the rehabilitation in dysarthria in a situation where non-face-to-face services are expanding in the COVID-19 era. To this end, a qualitative study was conducted on experts working in hospitals, speech-language pathology centers, and social welfare centers, and as a result of the study, 3 topics, 9 sub-themes, and 18 content units were derived. Based on the analysis results, the digital therapeutics-based community care model consisted of 9 types: remote diagnosis, telepractice, rehabilitation training program, peer supporters, clinical support, communication, psychosocial intervention, and care plan services. This study will be able to provide basic data for health care & welfare services using digital therapeutics and guidelines for establishing shared care plans based on multidisciplinary cooperation.
Ham, Kwang-Jun;Kim, Joon-Hyun;Yi, Geon-Ho;Choi, Ji-Yong;Jeong, Ui-Ho
Journal of Environmental Impact Assessment
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v.13
no.6
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pp.285-294
/
2004
The purpose of this study is to understand the quantitative change of water resources using RMS(Remote Monitoring System) which takes real time data with high reliability. Also, the characteristic of stormwater runoff was understood by the application of the above system for three streams (Jiam, Yulmun, and Gongji stream) in Chuncheon City. The detailed results of these studies are as follows; RMS(Remote Monitoring System) was constructed by the combination of the automatic water-level meter, which measures water-level of streams at all times, and the wireless communication system sending real-time data from the meter. This system is used to evaluate the stormwater runoff in watersheds and the quantitative changes of streams. It is possible to overcome the limit of field investigations needed, which takes a lot of manpower and time, and it is very efficient to provide the reliable flowrate data. Also, it can be applied to the disaster prevention system for flood because the change of flowrate in stream is monitored at real-time. For 3 streams with different watershed characteristics, correlation equations induced from the relation analysis results. In terms of the relation between water-level and flowrate, flowrate was increased rapidly as the water-level rises in case of small watershed and steep slope. The application results of the proposed system for 3 streams (Jiam, Yulmun, Gongji) in Chuncheon city are as follows; The remote monitoring system was very useful for acquisition of the flow rate in stream that are basic data to understand pollutants runoff in watershed. In case of no-rainy day, the runoff ratio for pollutant loading rate was the highest level in Yulmun stream(BOD:2.3%, TN:20.2%, TP:1.2%). So, it shows the management of pollution source is needed such as rehabilitation of sewer line. Runoff ratio of total phosphorus by rainfall in Gongji watershed was increased about 19 times than no-rainy day, which is estimated as the influence of sewer overflow.
Park, Rae-Joon;Choi, Sang-Joon;Cheng, Goh Ah;Cho, Jeong-Sun;Lee, Yoon-Mi;Cho, Yong-Ho;Park, So-Hyun;Cho, Mi-Suk
The Journal of Korean Physical Therapy
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v.18
no.1
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pp.1-10
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2006
Purpose: This study was to investigate how induced microcurrent shoes affect relief of feet pain, which often occurs to persons who are more than fifty years old and how they prevent fatigue of feet generated during everyday life. The subjects of this study were comprised af five males and five females, who agreed with this research and ate more than fifty years old. And they all have plantar faciitis and pain in their feet. Methods: Subjects ware the induced microcurrent shoes far more than 4 hours everyday during the test. When they wore those shoes, they also wore the specially produced shacks made of silver-mixed thread and they were asked to avoid serious exercise. Prior to starting test and after the test, assessments were carried out two times. In the examination before the test, general shoes were used and in examination after the test, induced microcurrent shoes used. Muscle fatigue was measured by electromyography(MP150, Biopac, USA). When the walking rate of subjects on a treadmill was increased from 2.Km/h to 3Km/h for 10 minutes, muscle activities of a lower leg were measured during the whale walking process by MP150 remote monitoring system(TEL 100C). And pain was measured by VAS. Results: The results are as follows. 1. Comparisons of VAS before and after experimentation showed that degree of pain was significantly decreased(p < .05). 2. Degree of fatigue of Tibialis anterior was significantly decreased after 6 weeks of treatment(p < .05). 3. Degree of fatigue of Soleus was slightly decreased after 6 weeks of treatment, but did not show significant difference (p > .05). Conclusion: The above results suggest that induced microcurrent shoes is helpful decreasing fatigue of feet and relief of feet pain.
Kim, Jung-A;Yoon, Suk-Ho;Kim, Won-Kyun;Choi, Jong-Kuk
Proceedings of the KSRS Conference
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2007.10a
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pp.95-97
/
2007
The mining-related damages due to the mining operations such as ground subsidence, tailing, Acid Mine Drainage, and soil contamination have a significant effect on our social and economical environment. So, for the effective prevention and reclamation works of the hazards in the mining area, the systematic management of mine information and mining-related damages is urgently needed. In this study, we estimated the possibilities of GIS-based system development for the mining area and related database. We classified the steps of building GIS as mine itself, mining-related damages, rehabilitation works and additional functions for estimating damages and analyzed the essential database and functions for each step. GIS will be helpful to estimate the mining-related damages and to carry out the reclamation works effectively.
Human biosignals provide essential information for diagnosing diseases such as dementia and Parkinson's disease. Owing to the shortcomings of current clinical assessments, noninvasive solutions are required. Machine learning (ML) on wearable sensor data is a promising method for the real-time monitoring and early detection of abnormalities. ML facilitates disease identification, severity measurement, and remote rehabilitation by providing continuous feedback. In the context of wearable sensor technology, ML involves training on observed data for tasks such as classification and regression with applications in clinical metrics. Although supervised ML presents challenges in clinical settings, unsupervised learning, which focuses on tasks such as cluster identification and anomaly detection, has emerged as a useful alternative. This review examines and discusses a variety of ML algorithms such as Support Vector Machines (SVM), Random Forests (RF), Decision Trees (DT), Neural Networks (NN), and Deep Learning for the analysis of complex clinical data.
Kim, G.H.;Ryu, M.H.;Shin, Y.I.;Kim, H.I.;Kim, N.G.;Yang, Y.S.
Journal of Biomedical Engineering Research
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v.28
no.1
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pp.153-161
/
2007
Stroke is the second most significant disease leading to death in Korea. The conventional therapeutic approach is mainly based on physical training, however, it usually provides the limited degree of recovery of the normal brain function. The electric stimulation therapy is a novel and candidate approach with high potential for stroke recovery. The feasibility was validated by preliminary rat experiments in which the motor function was recovered up to 80% of the normal performance level. It is thought to improve the neural plasticity of the nerve tissues around the diseased area in the stroked brain. However, there are not so much research achievements in the electric stimulation for stroke recovery as for the Parkinson's disease or Epilepsy. This study aims at the developments of a wireless variable pulse generator using ZigBee communication for future implantation into human brain. ZigBee is widely used in wireless personal area network (WPAN) and home network applications due to its low power consumption and simplicity. The developed wireless pulse generator controlled by ZigBee can generate various electric stimulations without any distortion. The electric stimulation includes monophasic and biphasic pulse with the variation of shape parameters, which can affect the level of recovery. The developed system can be used for the telerehabilitation of stroke patient by remote control of brain stimulation via ZigBee and internet. Furthermore, the ZigBee connection used in this study provides the potential neural signal transmission method for the Brain-Machine Interface (BMI).
Objective: This study investigated the awareness of occupational therapy in the community in occupational therapy majors through a survey. This purpose is to investigate the awareness of occupational therapy in the community among occupational therapy majors and establish a theoretical foundation. Methods: The research subjects were surveyed among occupational therapy majors at M University living in Gyeongsangnam-do, and analyzed 141 questionnaires from September 2023 to December 2023. Results: The results of this study that education and awareness improvement are needed to increase awareness of occupational therapy in the community, and it was found that continuing education and case sharing are effective. Activation of home rehabilitation and continuous health management. This institutional development can induce employment activity through community rehabilitation, and activate programs in connection with adult day care centers. For the development of community occupational therapy, participation in education and development of customized treatment are necessary, and patient It should be developed to help with movement and movement, and it has been shown that it can also affect the quality of life of patients. In addition, cutting-edge technologies such as artificial intelligence are expected to be applied to remote support, telemedicine, etc., and are applied to dementia, cognitive patients, and central nervous system patients. In order to institutionalize occupational therapy in the community, it is helpful in daily life, nursing, and management. It was said that this would be helpful for community participation. Conclusion: This study investigated the awareness of occupational therapy in the community among occupational therapy majors. Education and awareness improvement are needed to increase awareness of occupational therapy in the community. Education to improve the professionalism of occupational therapists, strengthening connectivity with other majors, and local organizations. It is believed that collaboration with the local community and institutional supplementation tailored to the needs of the local community were necessary.
To monitor process of vegetation rehabilitation at the damaged area after large-fire is required a lot of manpowers and budgets. However the analysis of vegetation recovery using satellite imagery can be obtaining rapid and objective result remotely in the large damaged area. Space and airbone sensors have been used to map area burned, assess characteristics of active fires, and characterize post-fire ecological effects. Burn severity incorporates both short- and long-term post-fire effects on the local and regional environment. Burn severity is defined by the degree to which an ecosystem has changed owing to the fire. To classify fire damaged area and analyze burn severity of Samcheok fire area occurred in 2000, Cheongyang fire 2002, and Yangyang fire 2005 was utilized Landsat TM and ETM+ imagery. Therefore the objective of the present paper is to quantitatively classify fire damaged area and analyze burn severity using normalized burn index(NBR) of pre- and post-fire's Landsat satellite imagery.
Robust motion estimation for human-computer interactions played an important role in a novel method of interaction with electronic devices. Existing pose estimation using a monocular camera employs either ego-motion or exo-motion, both of which are not sufficiently accurate for estimating fine motion due to the motion ambiguity of rotation and translation. This paper presents a hybrid vision-based pose estimation method for fine-motion estimation that is specifically capable of extracting human body motion accurately. The method uses an ego-camera attached to a point of interest and exo-cameras located in the immediate surroundings of the point of interest. The exo-cameras can easily track the exact position of the point of interest by triangulation. Once the position is given, the ego-camera can accurately obtain the point of interest's orientation. In this way, any ambiguity between rotation and translation is eliminated and the exact motion of a target point (that is, ego-camera) can then be obtained. The proposed method is expected to provide a practical solution for robustly estimating fine motion in a non-contact manner, such as in interactive games that are designed for special purposes (for example, remote rehabilitation care systems).
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