• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2683-2688
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• 2015

Internet of Things(IoT) using a variety of technologies in combination provides a convenient, elevated range of services to users. IoT has been noted in combining the fields of medical service in particular. However, with the advent and growing of IoT, the more medical services are evolving, security problems caused by leakage of personal health information will become more serious. U-Health and medical devices, which deal mainly the personal health information, is required to a high level of privacy and security of health information. Therefore, the introduction of the IoT in the healthcare industry requires the medical information security as a prerequisite. This study analyzes security status and trend of IoT, personal medical information leakage cases, the health information protection measures in accordance with the life cycle of medical information, and the standardized protection technologies.

• Korean Journal of Oriental Medicine
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• v.17 no.2
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• pp.115-120
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• 2011

Objectives : The purpose of this study is to develop an apparatus which can take a facial image by self-operated capturing technique. The user can obtain one's facial image immediately after adjusting facial tilt and focusing distance. The system has been designed for classifying Sasang typology based on facial image. Methods : The system is composed of a Webcam, one-way glass mirror and mini LCD. The Webcam takes a facial image which is displayed on the mini LCD. Then the user can see and adjust to the right position in the real time through the image mirror-reflected from the mini LCD. The optical sensor is used to estimate the proper focusing distance. To verify the performance of the system, 11 characteristic points on the facial image are used and compared with high performance DSLR camera(D700) by applying the coefficient of variance and Bland-Altman Plot. Results : The developed system and D700 show enough agreement with the small coefficient of variance to analyse constitutional types with a facial im mage. However, the result of Bland-Altman plot shows that the width parameters have distortions owing to short focusing distance. Conclusions : The system is expected to be utilized on u-healthcare services for home environment after improving the distortion in the width parameters.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.2
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• pp.95-106
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• 2016

Biometric data may appear different depending on the person and sasang Medicine has a close relationship with the Department. Biometric data not only mean a human heart rate, a blood pressure, a heart rate, and the past medical history, degree of aging, body mass index, but also is used as a reference measure for determining the state of health of the person. So biometric data should be reproduced for the application purposes, depending on their applications. In previous studies, because the biometric data is changed in real time and applies only to snap shut at the time of the continuity of the current time is excluded. Therefore, in this study in order to solve this problem, we propose a biometric data patton analysis model comprising a continuity of time in the big data environment consisting of biometric data. The proposed model can help determine the choice of needle position carefully when using the electronic acupuncture for care and health promotion.

• The Journal of Korean Society for School & Community Health Education
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• v.17 no.2
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• pp.71-81
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• 2016

Objectives: The objective and aim of this research is to cultivate a problem-solving ability by analysing the factors that negatively impact on filming sexual behaviour by adolescent. Methods: This research mainly refer to the secondary reference which is conducted a survey of all over the country by National Youth Policy Institute. 3,963 students on the register who participated in survey between 12th of June in 2014 and 15th of July in 2014 was nominated as final recipient for research. Results: Firstly, it has been shown that students who have watched sexual video have more experienced at filming sexual behaviour. In the area of stimulation(p<0.01) and emulation/sharing(p<0.001) except to violation of human rights, adolescent who has experienced at filming sexual behaviour significantly gains more high score than adolescent who does not have experienced statistically. Secondly, as a result of analysis the factors which negatively impact on filming sexual behaviour by adolescent with Binary logistic regression analysis, the adolescent who have shared sexual video was impacted on having an experience at filming sexual behaviour. and the adolescent who had sexual conversation was impacted on having an experience at filming sexual behaviour. Conclusion: A local autonomous entity and school should enforce systematic health education and practical management of mass media rather than unconditional restriction of adolescent's use of smart phone. To carry out this, the state and a local autonomous entity should urge plan for support for settling the instructive environment about using smart phone.

• Journal of muscle and joint health
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• v.19 no.3
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• pp.373-382
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• 2012

Purpose: The purpose of the study was to compare levels of health-related quality of life (HRQOL) between fallers and non-fallers among community-dwelling elderly people. Methods: A cross-sectional comparative study was conducted with the secondary analysis of 2,067 elderly people registered in S-Gu Visiting Health Care Program in Seoul, South Korea. Participants were 206 fallers and 206 non-fallers who were age- and sex-matched with fallers. HRQOL was measured by SF-8 including physical component summary (physical HRQOL) and mental component summary (mental HRQOL). Results: There were more people in the faller group having more than or equal to three chronic diseases (p<.001), living in multiplex houses (p=.004), and being dependent by the activities of daily living (ADL) (p=.001) and instrumental ADL (IADL) levels (p<.001) than those in the non-faller group. Fallers had higher levels of depression than non-fallers (p<.001). Moreover, fallers had significantly lower levels of both physical HRQOL (p<.001) and mental HRQOL (p=.001), after adjusting for number of chronic diseases, ADL, IADL, depression, healthcare insurance, and living environment. Conclusion: Among the community-dwelling elderly people, falllers had lower levels of HRQOL than non-fallers, and such a difference remained even after the adjustment for covariates. Factors that underlie the different susceptibility to HRQOL need to be explored.

• Journal of Mechanical Science and Technology
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• v.20 no.2
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• pp.251-261
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• 2006

The objective of this work is to apply artificial neural networks for solving inverse problems in the structural optimization of a fiber optic pressure sensor. For the sensor under investigation to achieve a desired accuracy, the change in the distance between the tips of the two fibers due to the applied pressure should not interfere with the phase change due to the change in the density of the air between the two fibers. Therefore, accurate dynamic analysis and structural optimization of the sensor is essential to ensure the accuracy of the measurements provided by the sensor. To this end, a normal mode analysis and a transient response analysis of the sensor were performed by combining commercial finite element analysis package, MSC/NASTRAN, and MATLAB. Furthermore, a parametric study on the design of the sensor was performed to minimize the size of the sensor while fulfilling a number of constraints. In performing the parametric study, the need for a relationship between the design parameters and the response of the sensor was fulfilled by using a neural network. The whole process of the dynamic analysis using commercial finite element analysis package and the parameter optimization of the sensor were automated within the MATLAB environment.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.451-456
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• 2019

Recently, various bioinformation technologies have been proposed, and research and development on the collection and analysis of the human body related bioinformation have been continuously conducted to support the human life environment and healthcare. These biomedical research and development processes add to the redundancy and complexity of the R&D elements and put a heavy burden on the follow-up research developers. Therefore, this study utilizes an open bioinformation platform that effectively supports the collection and analysis of bioinformation to improve the redundancy and complexity of bioinformatics R&D based on the bioinformatics platform. In addition, I propose an open interface that supports acquisition, processing, analysis, and application of bio-signals. In particular, we propose a biometric information normalization pattern model through data analysis modeling of brain wave information based on an open interface.

• Journal of Convergence for Information Technology
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• v.9 no.11
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• pp.189-195
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• 2019

This study is to investigate the effects of demographic characteristics and lifestyles on obesity in the community. The nurse measured the obesity level of 143 residents living in one apartment in Seoul, Korea. Demographics and lifestyles were analyzed by frequency and percentage and obesity level was analyzed by logistic regression analysis. In particular, as the age increases, the probability of obesity increases by 1.109 times. These results show that the development and application of community health promotion programs for obesity are important. Through this study, we discovered that obesity is significantly related to the demographic characteristics and lifestyles of the individual. And also, it is expected that these findings will be used as the basic information to plan a tailored obesity program taking into account local community environment and personal characteristics.

• Journal of the Korea Society of Computer and Information
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• v.23 no.1
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• pp.103-109
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• 2018

The purpose of the study is to investigate the effect of a simulation training of BLS in paramedics in pre-hospital situation. This a nonequivalence control quasi-experimental study. The study subjects were 8 paramedics of experimental group and 8 paramedics of control group in K fire department. An informed consent was written by the subjects after explaining of the purpose of the study. The study methods consisted of conventional education and practice training. The conventional education was done for 30 minutes and the practice training was taken by four trainees of one group and the instructor demonstrated Basic Iife Support (BLS) performance for three minutes. Each trainer peformed BLS for ten minutes. In the beginning of the course, two paramedics got off from the ambulance and performed BLS including 5 cycles of Cardiopulmonary Resuscitation (CPR). Soon after the BLS, another two paramedics performed pre-hospital BLS survey. The education was guided by two professors of emergency medical technology, two Basic Iife Support instructors, and two emergency rescue directors. Pre-hospital BLS was measured by a 5-point Likert scale. Higher score means higher performance skills. The data were analyzed using SPSS/WIN 22.0 program set at significance level of p<05. The effect of simulation education was much more significant than the conventional education in BLS. The simulation education is very important and effective in improving the clinical performance skills of paramedics than the conventional education. The simulation education can provide the virtual environment of cardiac arrest to the paramedics. In conclusion, the simulation education can provide the effective teaching methods for various practice performance skills and solution by critical thinking in the paramedics and healthcare providers in the future.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1321-1322
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• 2012

With the advance of Information Technology (IT) and dynamic requirements, diverse application services have been provided for end users. With huge volume of these services and information, users are required to acquire customized services that provide personalized information and decision at particular extent of time. The case is more appealing in healthcare, where patients wish to have access to their medical record where they have control and provided with recommendation on the medical information. PHR (Personal Health Record) is most prevailing initiative that gives secure access on patient record at anytime and anywhere. PHR should also incorporate decision support to help patients in self-management of their diseases. Available PHR system incorporates basic recommendations based on patient routine data. We have proposed decision support service called "Smart CDSS" that provides recommendations on PHR data for diabetic patients. Smart CDSS follows HL7 vMR (Virtual Medical Record) to help in integration with diverse application including PHR. PHR shares patient data with Smart CDSS through standard interfaces that pass through Adaptability Engine (AE). AE transforms the PHR CCR/CCD (Continuity of Care Record/Document) into standard HL7 vMR format. Smart CDSS produces recommendation on PHR datasets based on diabetic knowledge base represented in shareable HL7 Arden Syntax format. The Smart CDSS service is deployed on public cloud over MS Azure environment and PHR is maintaining on private cloud. The system has been evaluated for recommendation for 100 diabetic patients from Saint's Mary Hospital. The recommendations were compared with physicians' guidelines which complement the self-management of the patient.