• Journal of Internet Computing and Services
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• v.21 no.6
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• pp.95-104
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• 2020

In this paper, we propose the real time indoor air quality monitoring and controlling platform on cloud using IoT sensor data such as PM10, PM2.5, CO2, VOCs, temperature, and humidity which has direct or indirect impact to indoor air quality. The system is connected to air ventilator to manage and optimize the indoor air quality. The proposed system has three main parts; First, IoT data collection service to measure, and collect indoor air quality in real time from IoT sensor network, Second, Big data processing pipeline to process and store the collected data on cloud platform and Finally, Big data analysis and visualization service to give real time insight of indoor air quality on mobile and web application. For the implication of the proposed system, IoT sensor kits are installed on three different public day care center where the indoor pollution can cause serious impact to the health and education of growing kids. Analyzed results are visualized on mobile and web application. The impact of ventilation system to indoor air quality is tested statistically and the result shows the proper optimization of indoor air quality.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.153-161
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• 2022

Physical activities are decreasing and sitting time is increasing due to the automation, smartization, and intelligence of necessary household items throughout daily life. Recent healthcare studies have reported that the likelihood of obesity, diabetes, cardiovascular disease, and early death increases in proportion to sitting time. In this paper, we develop a sitting posture correction cushion in real time using capacitive pressure sensor based on conductive textile. It develops a pressure sensor using conductive textile, a key component of the posture correction cushion, and develops a low power-based pressure measurement circuit. It provides a function to transmit sensor values measured in real time to smartphones using BLE short-range wireless communication on the posture correction cushion, and develops a mobile application to check the condition of the sitting posture through these sensor values. In the mobile app, you can visualize your sitting posture and check it in real time, and if you keep it in the wrong posture for a certain period of time, you can notify it through an alarm. In addition, it is possible to visualize the sitting time and posture accuracy in a graph. Through the correction cushion in this paper, we experiment with how effective it is to correct the user's posture by recognizing the user's sitting posture, and present differentiation and excellence compared to other product.

• Journal of the Korea Society of Computer and Information
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• v.16 no.12
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• pp.71-81
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• 2011

The EMR management services can monitoring the patients' record with any doctors in any hospital by using the internet and smartphones online. To handle the real time, multidimensional, continuous data, database management systems (DBMS) must cope with high insert rates for updates, however the traditional DBMS suffers from processing these kinds of data due to its serious design bottlenecks. So the researchers put forward to Data Stream Management System (DSMS). In this paper we describe the real-time Data Stream Server for Continuity of Care Record (CCR) that including continuos query processor. This system is compiled with DSMS and DBMS in EMR system for processing and monitoring the coming CCR data stream, and also storing the processed result with high-efficiency. The system enables users not only to query stored CCR information from DBMS, but also to execute continue query on real-time CCR Data Stream, and health information can be transferred between different healthcare providers that would reduce medical error. At last, we develop a IPhone mobile application to test the proposed real-time data stream server.

• Journal of Society of Preventive Korean Medicine
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• v.4 no.2
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• pp.235-241
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• 2000

This study was carried out to evaluate cytotoxic effects of Poncirus trifoliata Raf. extract on lymphocytic leukemia tumor (L1210) cell lines. Disruptions in cell organelles were determined by 3-(4,5-dimethyl thiazol-2-yl)-2,5-diphenyl-2H-tetrazoliumbromide (MTT) assay The comparison of Ic50 Values of Poncirus trifoliata Raf. extract in L1210 cell lines showed that their susceptibility to these fractons decreased in the following order: adriamycin > Fr.4> Fr. 6> Fr. 5> Fr. 3> Fr. 1> Fr. 2 by the MTT assay. In order to develop an antumicrobial agent, Poncirus trifoliata Raf. was extracted wit ethanol, and then it was fractionated with several mobile phase. The antitumor activities of fractions of the ethanol soluble extract was investigated. The minimal inhibitory concentrations (MIC) of fractions of the ethanol soluble extract of Poncirus trifoliata Raf. against microorganisms were also examined. Antimicrobial activities of ampicillin and ketoconazole as references were compared to those of fractions of the ethanol soluble extract of Poncirus trifoliata Raf. The antimicrobial activities of all fractions from the extract had growth inhibition activities against gram-positive bacteria, gram-negative bacteria and fungi $(MIC\;>\;200{\mu}g/ml)$. These results suggest that fraction 4 of the ethanol soluble extract of Poncirus trifoliata Raf. possessed the most antitumorous agent.

• Design Convergence Study
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• v.16 no.6
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• pp.123-135
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• 2017

In recent mobile health care service, health management using number of steps is becoming popular. In addition, a variety of activity trackers have made it possible to measure the number of steps more accurately and easily. Nevertheless, the activity tracker is not popularized, and it is a trend to use the pedometer sensor of the smartphone as an alternative. In this study, we tried to find out how much the number of steps collected by the smartphone versus the actual number of steps in actual situations, and what factors make the difference. We conducted an experiment to collect number of steps data of 21 people using the smartphone and wearable device simultaneously for 7 days. As a result, we found that the average number of steps of the smartphone is 62% compared to the actual number of steps, and that there is a large variation among users. We derived a regression model in which the accuracy of smartphone increases with the degree of awareness of smartphone. We expect that this can be used as a factor to correct the difference from the actual number of steps in the smartphone alone healthcare service.

• Journal of Industrial Convergence
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• v.20 no.9
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• pp.59-70
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• 2022

Background: Diabetes education is an important factor in blood glucose control. Reinforced education is necessary for effective diabetes education. However, it is difficult to provide reinforced diabetes education within Korea's medical environment. Therefore, we want to analyze the effect of continuous diabetes education using mobile health care that can effectively provide repeated education without having to face the patient. Methods: This study is a multicenter, randomized, controlled, pre-post design study conducted to analyze the effect of a continuous diabetes education method. A total of 109 people were registered at five hospitals in south Korea, and they were randomly assigned to the app group (34 people) who received real-time coaching and repetitive training, the logbook group (37 people) who received face-to-face training after writing a blood glucose logbook, and the general group (38 people) who received a one-time diabetes education. The study was conducted for a total of 24 weeks. Twenty-one patients withdrew their consent and failed to perform an HbA1c. A final 88 patients were analyzed. The difference in HbA1c, Self-management behavior, and Quality of life before and after education was analyzed. Results: The study involved 51 (58%) male subjects, mean age was 55.8 years and mean duration of diabetes was 7.6 years. After 24 weeks of intervention, there was no significant difference in self-care behavior and quality of life between the three groups, but the HbA1c of the app group significantly decreased after education compared to the logbook group and the general group (F=4.62, p=.013). Conclusion: It can be seen through the app group that receiving real-time education is more effective in improving blood glucose management and continuous diabetes education is important.

• The Journal of the Korea Contents Association
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• v.20 no.5
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• pp.448-456
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• 2020

In the era of the Fourth Industrial Revolution, how well the explosive information and data are handled and used is recognized as a problem directly related to the competitiveness of the industry. In particular, the introduction of artificial intelligence technology in the medical field can be said to have a great social impact on its use, and this research was conducted to understand the trends of artificial intelligence according to the range of use case. In this study, the application of artificial intelligence in the healthcare field is divided into four scopes, (1) hospital solutions, (2) personal health care, (3) insurance, and (4) new drug development. Based on various cases and trends in artificial intelligence technology, this study tried to give directions on how to develop artificial intelligence in Korea. In this study, we wanted to find out the use cases of artificial intelligence in various areas of healthcare industry and describe the latest issues in healthcare to help the overall medical industry. The development of artificial intelligence-based medical systems has made it easier to manage the chronic patients, increased the accuracy of cancer or disease diagnosis, and helped developing new drugs faster and more efficiently. Through this study, the medical industry we wanted to give a direction to the future development of artificial intelligence in Korea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.7
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• pp.410-419
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• 2016

This study examined the satisfaction difference in the aspects of awareness, information quality, and availability in healthcare applications according to smartphone user's characteristics. Data collection was conducted between September 17th and September 21st 2014 on the 193 people who had used healthcare applications, and the data collected were analyzed with descriptive statistics, t-test, One-way ANOVA, and Kruskal-Wallis test using SPSS WIN 20.0. Differences in satisfaction of healthcare application were observed according to the general characteristics, and according to age, education level, and income, as well as for healthcare application use characteristics, according to operation system, total use period, the number of installed healthcare applications, the sources of main information, use frequency, and reasons of no use. To establish strategies for the effective spread of mobile healthcare and development and distribution of healthcare applications, it will be necessary to confirm smartphone users' characteristics and it is important to reflect them in the strategies. In addition, it is necessary to develop and implement a range of strategies to ceaselessly induce the users' motives of use and to improve their degree of satisfaction to secure the constant use of developed health care applications.

• Journal of Internet Computing and Services
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• v.17 no.2
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• pp.59-65
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• 2016

The result of analyzing the cognitive reaction due to the color environment has been applied to various filed especially in medical field. Moreover, the study about the identification of patient's condition and examination the brain activity by collecting the bio-signal based on the color environment is being actively conducted. Even though, there were a variety of experiments by convention the color environment using a light or LED color, it still has a problem that affects the psychological information. Therefore, our proposed system using a HMD (Head Mounting display) to provide a completed color environment condition. This system uses the BMS(Biomedical System) to collect the biometric information which responds to the specific color condition and the human body response information can be measured by the development the Memory and Attention test on Mobile phone. The collection of Biometric information includes electro cardiogram(ECG), respiration, oxygen saturation (Sp02), Bio-impedance, blood pressure will store in the database. In addition, we can verify the result of the human body reaction in the color environment by Memory and Attention application. By utilizing the reaction of the human body information that is collected thought the proposed system, we can analyze the correlation between the physiological information and the color environment. And we also expect that this system can apply to the medical diagnosis and treatment. For future work, we will expand the system for prediction and treatment of Alzheimer disease by analyzing the visualization data through the proposed system. We will also do evaluation on the effectiveness of the system for using in the rehabilitation program.

• Journal of the Health Care and Life Science
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• v.9 no.2
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• pp.253-266
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• 2021

The purpose of this study was to identify the impact of facility safety design components of children's swimming pool facilities on parents' satisfaction and psychological stability. A total of 13 facilities used 324 out of 360 people collected through field visits as final research materials to achieve their goals. One-on-one in-depth interviews were conducted with a total of eight experts, including one administrator, three professors, one reporter, and three researchers. The following results were obtained using the IBM SPSS Statistics Ver. 24 statistical package: First, the facility safety design component factors affect the satisfaction of parents. Second, the factors of facility safety design components affect psychological stability. Third, parents' satisfaction factors affect psychological stability. Fourth, the facility safety design plan for children's swimming facilities is a total of four categories, suggesting 12 measures, including basic safety manual installation, use of mobile movement buffers, use of lane hypothetical steps, and up to 3:1 lessons for beginners.