• Journal of Digital Convergence
• /
• v.16 no.10
• /
• pp.59-67
• /
• 2018

There are not that many m-health related services limited to the elderly. Many of the elderly who are at risk of dementia are unfamiliar to smart devices, so it is required to design an user-customized App. Therefore, I design and embody a mobile voice alert integrated app, which enables voice input to increase the accessibility of the elderly, so as to prevent diseases caused by declined cognitive function such as dementia. I conducted interviews and questionnaire after having the students use the app in Lifelong Education Center in H region of Gyeongbuk, and the analysis result has showed the high satisfaction. It is expected that it will be able to play a key role for M-Health service for the elderly since it is possible to prevent dementia through the voice health care alert app. I would like to learn deep learning in the future to predict the life patterns and the possibility of dementia of the elderly.

• Quality Improvement in Health Care
• /
• v.28 no.1
• /
• pp.2-13
• /
• 2022

Purpose: This study assessed the status of the Development and Utilization of critical pathways (CP) in South Korea. Methods: We surveyed 195 hospitals obtained on the Korean Hospital Association website. Data were collected using structured questionnaires for staff members in charge of CP management personnel in these hospitals. The questionnaire included CP developed by the institutions, the coverage rates and completion rates of CP in the current year, and management indicators related to CP. The questionnaire also included CP support systems and content within the institutions and questions regarding the advantages of CP utilization and obstacles associated with the CP development process. Results: Analysis of the responses from 70 hospitals (35.9% response rate) showed that a total of 1,370 CP sets were developed. The number of CP related to surgery departments was 365 (26.6%), and CP related to surgery and procedure was 1,093 (79.8%), respectively. The CP coverage rate was the most frequently used indicator to monitor the effect of CP (97.1%), followed by the completion rate (90.0%) and the length of stay in hospital (61.4%). CP managers reported that CP were highly useful for communication (3.39±0.493) and accurate information provision (3.39±0.491). The perception that CP violated doctors' autonomy in treatment was relatively low (2.87±0.645). Conclusion: It is necessary to establish an infrastructure in hospitals for CP. CP can facilitate communication and provide accurate information.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.11 no.1
• /
• pp.34-39
• /
• 2018

Along with the development of ICT technology, wearable devices of various sizes and shapes have been developed. In addition, performance and specifications are rebuilt with IOT fusion products so that they can connect with the current smartphone. This is one of the general-purpose technologies of the 4th industrial revolution, which is spot-lighted with technology that changes the quality and environment of our lives. Along with this, as new technology products combining health care technology increases, various functions are provided to users who need it. Wearable technology is ongoing trend of technology development. It also sells products developed as products in the form of smart watches. At present, various related products are made in various ways, and it is recommended to use the Arduino processor in accordance with the application. In this study, we developed wearable physical activity monitoring system using open source hardware based TinyDuino. TinyDuino is an ultra-compact Arduino compatible board made on the basis of Atmega process Board, and it can be programmed in open source integrated development environment(named Sketch). The physical activity monitoring system of the welfare body can be said to be a great advantage, as a smart u-Healthcare system that can perform daily health management.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.2
• /
• pp.187-195
• /
• 2022

This study was conducted to confirm the relationship between smart device usage time, eye health status, and eye management consciousness during the COVID-19 Pandemic period for college students in the health field. The study participants were 188 health-related university students, and data analysis was performed using descriptive statistics, independent t-test, Chi-square test, one-way ANOVA, and Pearson's correlation coefficients using the SPSS 26.0 program. As a result of the study, the average of the subjects' eye fatigue score was 15.23±13.71, the dry eye subjective symptom score was 21.87±12.02, and the eye health management consciousness score was 3.48±1.09. Eye care awareness, dry eye symptoms (r=.152, p=.005) and eye fatigue, dry eye symptoms (r=.650, p<.001) were statistically significant positive correlation in the group using smartphones for 2 hours or more per day on average. Based on the results of this study, it is necessary to find a way to prevent eye health due to the use of smart devices by college students, and repeated studies are needed to confirm the factors affecting eye health.

• International journal of advanced smart convergence
• /
• v.2 no.2
• /
• pp.40-42
• /
• 2013

Recent medical industry is an aging society and the application of national health insurance, with state-of-the-art research and development, including the pharmaceutical market is greatly increased. The nation's health care industry through new support expansion and improve the quality of life for the research and development will be needed. In addition, systemic administration of basic medical supplies, or drugs are needed, the drug at the same time managing how systematic analysis of pharmaceutical ingredients, based on data through the purchase of new medicines and pharmaceutical ingredients automatically classified by analyzing the statistics of drug purchases and the future a system that can predict a patient is needed. In this study, the drugs to the patient according to the component analysis and predictions for future research techniques, k-means clustering and k-NN (Nearest Neighbor) Comparative studies through experiments using the techniques employ a more efficient method to study how to proceed. In this study, the effects of the drugs according to the respective components in time according to the number of pieces in accordance with the patient by analyzing the statistics by predicting future patient better medical industry can be built.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2012.05a
• /
• pp.842-845
• /
• 2012

의료기기는 헬스케어 서비스를 위한 필수요소로 최근 의료와 관련된 스마트폰 애플리케이션의 증가와 함께 스마트폰과 연결되는 의료기기를 활용한 스마트 헬스케어가 대두되고 있다. 이러한 스마트 헬스케어는 현재 ISO/IEEE 11073 표준을 통해 의료기기와 게이트웨이를 연결하여 임상정보를 전송하고 게이트웨이는 HL7 CDA 표준 문서를 통해 전자 건강 기록 및 개인 건강 기록 시스템, 임상 워크플로우 및 임상 의사 결정 지원 시스템과 같은 유형의 의료 서비스 시스템과 연동하는 솔루션이다. ISO/IEEE 11073은 DIM(Domain Information Model)이라는 정보 모델을 기반으로 하며 HL7 v3인 CDA는 RIM(Reference Information Model)이 있기 때문에 상이한 인터페이스간의 매핑 매커니즘을 필요로 한다. 이에 본 논문에서는 스마트폰 환경에서 의료 응용 애플리케이션에서의 효율적인 의료기기 데이터 운용을 위해 RMIM(Refined Message Information Model) 기반의 IEEE 11073 DIM/HL7 v3 RIM 표준 인터페이스 변환 방법을 제안한다.

• Journal of Digital Contents Society
• /
• v.19 no.6
• /
• pp.1097-1103
• /
• 2018

The purpose of this study is to arrange a plan for which humanities digital contents can be directly utilized in modern people's life through a convergent approach between humanities and ICT. It inquired into a plan for developing and applying contents, which are made contents in the aspect of cartoon and animation, by excavating contents available for advancing to start-up in Greater China based on the Chinese cultural content archetype. Also, the aim is to offer the integrated start-up DB and child-care mentoring program for advancing to greater China that supports the development in specific ICT start-up item, through a research on smart-phone APP publishing environment based on ICT and a research on mobile big-data ecological environment.

• International journal of advanced smart convergence
• /
• v.8 no.4
• /
• pp.161-168
• /
• 2019

Traffic accidents in tunnel can lead to large traffic accidents due to narrow and dark road characteristics. Therefore, special care of the driver is required when is driving in a tunnel. However, accidents can happen at any time. In the event of an accident, a narrow road structure may lead to a second accident. Therefore, all facilities installed inside the tunnel should be allowed to minimize damage in the event of an accident. We confirmed the safety of the collision target through the action of the sedan, Sport Utility Vehicle (SUV) and truck when the vehicle crashed into a stairway installed on the tunnel emergency escape route, and when a concrete barrier or guard rail was installed in front of the stairway. The behavior of the vehicle has resulted in a total of three results: rollover or rollover, change of speed and angle of the vehicle after collision. The sedan and SUV were the most secure when colliding with the guardrail, but considering the truck as a whole, concrete barriers were judged to be the most suitable for minimizing damage from the first accident and reducing the risk of the second accident.

• International journal of advanced smart convergence
• /
• v.8 no.4
• /
• pp.58-67
• /
• 2019

The purpose of this study was to examine the relationship between sleep disorders, job satisfaction, health promotion behavior, quality of life, turnover intention. And also to find the predicting factors on turnover intention of shift and non-shift nurses. A descriptive study design was used. Study subjects were 239 nurses worked as a shift (167) and non-shift (72) in two general hospitals in P city. Turnover Intent, Sleep disorders, Job satisfaction, practicing health promotion profile and quality of life scales were used to collect the data. Data were analyzed by descriptive statistics and Pearson's correlation coefficient for find the relationship between study variables. Stepwise multiple regressions used to find predicting factors of turnover intention with other variables. The shift group showed lower Job satisfaction, practice of health promotion behavior and intention of turnover than non-shift nurses. The most important predictive factors of turnover intention in of shift group was job satisfaction (β =-. 477, p <.001) and non-shift group was health promotion behavior (β =-. 295, p = .040) than other factors. Findings showed that turnover intention highly influenced by job satisfaction than health promoting behavior and quality of life. This study suggests organizational efforts to provide sufficient staffing and nurse managersshould make more concentration to allot work schedule in order to avoid over load shift nurses and promote quality of client care.

• Journal of Electrical Engineering and Technology
• /
• v.11 no.6
• /
• pp.1857-1862
• /
• 2016

Human activity recognition using depth information is an emerging and challenging technology in computer vision due to its considerable attention by many practical applications such as smart home/office system, personal health care and 3D video games. This paper presents a novel framework of 3D human body detection, tracking and recognition from depth video sequences using spatiotemporal features and modified HMM. To detect human silhouette, raw depth data is examined to extract human silhouette by considering spatial continuity and constraints of human motion information. While, frame differentiation is used to track human movements. Features extraction mechanism consists of spatial depth shape features and temporal joints features are used to improve classification performance. Both of these features are fused together to recognize different activities using the modified hidden Markov model (M-HMM). The proposed approach is evaluated on two challenging depth video datasets. Moreover, our system has significant abilities to handle subject's body parts rotation and body parts missing which provide major contributions in human activity recognition.