• Journal of Dental Rehabilitation and Applied Science
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• v.36 no.4
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• pp.203-210
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• 2020

By facing the era of the 4th industrial revolution, personalized medical services for patients are expanding with the development of information and communications technology. With these changes, digital medical devices have begun to be used to support diagnosis, patient monitoring, and decision-making of diseases, and recently software medical devices for the purpose of preventing, managing, or treating disorders or diseases have become popular. The aim of this article is to understand the current concept and status of Software as a Medical Device (SaMD), which are actively being carried out in the United States, and to find out what fields can be applied in the future. In addition, it intends to find out the Korean domestic policy trends related to smart healthcare and find out the application of digital software as a medical devices that can be used in dental clinic to keep pace with the upcoming changes in the medical field.

• Archives of Craniofacial Surgery
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• v.14 no.2
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• pp.73-80
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• 2013

It is important to distinguish deformational plagiocephaly from craniosynostosis, the two conditions are different with respect to clinical progression and treatment options. Deformational plagiocephaly is diagnosed based on the patient's medical history and physical examination. Until recently, there has been no standardized method of evaluation. Visual assessment, anthropometric assessment, digital scanning, and radiologic evaluation are mostly commonly used modalities for diagnosis and assessment. Treatment of deformational plagiocephaly requires an understanding of natural progression of the disease. Deformational plagiocephaly should be classified according to its severity before the proper method and time for treatment are determined. Treatment includes repositioning, physiotherapy and remodeling with the use of orthotic devices. In general, repositioning is preferred for patients younger than six months old while treatment with the use of orthotic devices such as helmet is preferred for patients over six months old. Moreover, treatment with the use of orthotic devices is also favored for severe plagiocephaly. There is continuing research on the relation between deformational plagiocephaly and developmental delay.

• Electronics and Telecommunications Trends
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• v.32 no.6
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• pp.27-39
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• 2017

A variety of medical devices are utilized to repair or help injured body functions after accidental injury(such as a traffic accident), population aging, or disease. Such medical devices are being actively researched and developed in portable form, skin patchable type, and further, implantable form. In the future, active implantable medical devices for neuro and brain sciences are expected to be developed. Active implantable medical devices that detect brain signals and control neurology for a wider understanding of human cognition and nerve functions, and for an understanding and treatment of various diseases, are being actively pursued for future use. In this paper, the core elements of implantable devices that can be applied to neuro and brain sciences are classified into electrode technologies for bio-signal acquisition and stimulation, analog/digital circuit technologies for signal processing, human body communication technologies, wireless power transmission technologies for continuous device use, and device integration technologies to integrate them. In each chapter, the latest technology development trends for each detailed technology field are reviewed.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.154-160
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• 2019

In this paper, we propose the miniaturization size of wearable Range of Motion(ROM) and a system that can be connected with smart devices in real-time to measure the joint movement range dynamically. Currently, the ROM of the joint is directly measured by a person using a goniometer. Conventional methods are different depending on the measurement method and location of the measurement person, which makes it difficult to measure consistently and may cause errors. Also, it is impossible to measure the ROM of joints in real-life situations. Therefore, the wearable sensor is attached to the joint to be measured to develop a miniaturize size ROM device that can measure the range of motion of the joint in real-time. The sensor measured the resistance value changed according to the movement of the joint using a load cell. Also, the sensed analog values were converted to digital values using an Analog to Digital Converter(ADC). The converted amount can be transmitted wireless to the smart device through the wearable sensor node. As a result, the developed device can be measured more consistently than the measurement using the goniometer, communication with IoT-based smart devices, and wearable enables dynamic observation. The developed wearable sensor node will be able to monitor the dynamic state of rehabilitation patients in real-time and improve the rapid change of treatment method and customized treatment.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.26 no.4
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• pp.1-5
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• 2012

By using LED optical devices and improving the efficiency of optical devices as well as lighting apparatus for humans, LED lighting industry puts the purpose of manufacturing the main products related with information, electric, large-sized LCD BLU, automobile, shipbuilding, agriculture, medical treatment, environment, and telecommunications, etc. Moreover, the main products and the industrial lighting products are manufactured with fusion, as the result, LED lighting industry provides various effects as well as sources of technology based on practical use of LED technology in order to develop the industry from the perspective of the lower price, the higher efficiency, the higher function, the deeper reliance. In the future, not only the development of new LED technology but also the fusion and combination of digital IT technologies using wire-wireless communication, sensor, controller, and artificial intelligence will be expected to create new industrial fields.

• Journal of Digital Convergence
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• v.12 no.7
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• pp.285-290
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• 2014

In these days the patient can be easy to see the treatment results at home without going directly to hospital. Despite the many advantages that the patient is got optimum service timely, the currently used personal healthcare devices have no compatibility because the manufacturer use the proprietary software and hardware protocols. For these issues, standardization is required between the set-top box and the individual healthcare devices. In this paper, we designed the healthcare set-top box possible to biometric data transmission by using a standard IEEE P11073 between the device and the set-top box. Because the set-top box using IEEE P11073 standardization can transfer data independently, we are expected to make it contribute significantly to the healthcare business.

• Journal of Technologic Dentistry
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• v.43 no.4
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• pp.202-209
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• 2021

By classifying temporary denture production for surgical guides, digital guide-based surgery, and final prosthesis production, the problems of each process were assessed in advance and the factors that could be improved were confirmed in this study. The manufacturing process of fusion dental prosthesis uses virtual programs and computed tomography images to manufacture devices using the latest technologies of computer-aided design/computer-aided manufacturing and three-dimensional printing, which enables implants to be placed in the desired location in advance. Moreover, implant placement is not dependent on the skill and condition of the dentist, and because it uses a computer system, it can always be performed at a constant and optimal position. This can reduce the remanufacturing rate compared with the general method, shorten the treatment period, and eliminate patient discomfort. Unlike the traditional method of using impression materials and plaster models, digital fusion dental prostheses would be evaluated as a technology for producing prosthesis through professional design technology and communication.

• Journal of Industrial Convergence
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• v.21 no.9
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• pp.133-142
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• 2023

The use of digital information technology has become important in order to effectively respond to changes in production conditions in Korean agriculture, which are continuously worsening due to a decrease in the rural population, deepening aging, and climate change. Accordingly, this study analyzed the factors affecting farmers' adoption of information devices use and the effect of information devices use on agricultural product sales using the propensity score matching method. As a result of the analysis, it was found that low-age farmers, high-education farmers, and leading farmers are highly likely to adopt use of information devices. For farms with similar characteristics such as age, management size, and farming type, it has been confirmed that farms that have adopted information devices use in agricultural management have higher sales of agricultural products. Therefore, increasing farmers' access to information and the ability to use information devices provides implications that farm income can be improved. The government's informatization support project in the agricultural and rural sectors is important so that farmers can have the ability to distribute informatization devices and utilize agricultural information, and active investment should also be made in information infrastructure.

• Journal of Korean Physical Therapy Science
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• v.30 no.4
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• pp.92-110
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• 2023

Background: Digital therapeutics are software medical devices that provide evidence-based treatments to prevent, manage, and treat disease. Digital therapies have recently been shown to be effective in motivating children with cerebral palsy as a tool in neuropsychological therapy. Digital therapies improve postural control, balance and gait in children with cerebral palsy. Therefore, this study aims to investigate the effects of digital therapies on balance and gait in children with cerebral palsy and to provide guidelines for prescribing digital therapies for children with cerebral palsy. Design: A Systematic Review Methods: This study searched for English-language articles published in medical journals from January 2000 to July 2023 using PubMed and MEDLINE based on the year of initiation of the digital therapy. The search terms used in the study were 'digital technology' OR 'digital therapeutic' OR 'mobile application' OR 'mobile health' OR 'virtual reality' OR 'game' AND 'cerebral palsy', 'balance' 'gait' as the main keywords. The final article was assigned an evidence level and a Physiotherapy Evidence Database (PEDro) score to assess the quality of clinical trials studies. Results: The digital therapies applied to improve balance and gait in children with cerebral palsy are game-based virtual reality training and the Nintendo Wii Fit program. Both digital therapy interventions had a significant effect on improving balance in children with cerebral palsy, and virtual reality training significantly improved balance and gait. However, there were no significant improvements in balance and gait within two weeks of treatment, regardless of the type of digital intervention. Conclusion: The study suggests that this data will be important in building the evidence base for the effectiveness of digital therapies on balance and gait in children with cerebral palsy and in advancing clinical protocols.

• Korean Journal of Artificial Intelligence
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• v.11 no.3
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• pp.29-34
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• 2023

Recently, the rapid development of artificial intelligence technology, many studies are being conducted to predict the risk of heart disease in order to lower the mortality rate of cardiovascular diseases worldwide. This study presents exercise or dietary improvement contents in the form of a software app or web to patients with cardiovascular disease, and cardiovascular disease through digital devices such as mobile phones and PCs. LR, LDA, SVM, XGBoost for the purpose of developing "Life style Improvement Contents (Digital Therapy)" for cardiovascular disease care to help with management or treatment We compared and analyzed cardiovascular disease prediction models using machine learning algorithms. Research Results XGBoost. The algorithm model showed the best predictive model performance with overall accuracy of 80% before and after. Overall, accuracy was 80.0%, F1 Score was 0.77~0.79, and ROC-AUC was 80%~84%, resulting in predictive model performance. Therefore, it was found that the algorithm used in this study can be used as a reference model necessary to verify the validity and accuracy of cardiovascular disease prediction. A cardiovascular disease prediction analysis algorithm that can enter accurate biometric data collected in future clinical trials, add lifestyle management (exercise, eating habits, etc.) elements, and verify the effect and efficacy on cardiovascular-related bio-signals and disease risk. development, ultimately suggesting that it is possible to develop lifestyle improvement contents (Digital Therapy).