• 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 Convergence for Information Technology
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• v.8 no.4
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• pp.9-14
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• 2018

The purpose of this study was to analyse the relationship between the characteristics of the patients who received oral antihyperglycemic drugs and their medical adherence in Korea. The study method was a cross-sectional study using the patient sample data of the Health Insurance Review and Assessment Service for 2016, and it was analyzed with 109 major components of diabetes drug. The medical adherence was slightly higher in male than female. The patriots & veterans(free) type had the highest medication adherence because they have low self burden to access medical institutions compared to other insurance types. It is expect that this study result will be used as a basic data to understand the burden of outpatients with health insurance and establish a policy to reduce of the self outpatients' burden with chronic diseases such as type 2 diabetes.

• 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.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.113-121
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• 2020

With the rapid development of information and communication technology (ICT), various sensors are being embedded in wearable devices. Consequently, these devices can continuously collect data including health data from individuals. The collected health data can be used not only for healthcare services but also for analyzing an individual's lifestyle by combining with other external data. This helps in making an individual's life more convenient and healthier. However, collecting health data may lead to privacy issues since the data is personal, and can reveal sensitive insights about the individual. Thus, in this paper, we present a method to collect an individual's health data from a smart band in a privacy-preserving manner. We leverage the local differential privacy to achieve our goal. Additionally, we propose a way to find feature points from health data. This allows for an effective trade-off between the degree of privacy and accuracy. We carry out experiments to demonstrate the effectiveness of our proposed approach and the results show that, with the proposed method, the error rate can be reduced upto 77%.

• 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.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.151-158
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• 2021

In this paper, we analyzed the latest research trends, challenges, and potential applications of next-generation solar cell materials in various industrial fields. In addition, future prospects and possibilities of Smart Textile Hybrid Energy Harvesting Devices that will supply electricity by combining with wearable IoT devices are presented. The hybrid textile energy harvesting device fused next-generation solar cells with tribo-piezoelectric devices will develop into new 'Convergence Integrated Smart Wear' by combining the material itself with wearable IoT devices in the era of the 4th industrial revolution. The next-generation nanotechnology and devices proposed in this paper will be applied to the field of smart textile with an energy harvesting function. And we hope it will be a paradigm shift that evolves into creative products which provide AI services such as medical & healthcare by convergence with the future smart wear industry.

• Nuclear Engineering and Technology
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• v.53 no.11
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• pp.3790-3797
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• 2021

Although the individual channel readout method can improve the performance of PET detectors with pixelated photo-sensors, such as silicon photomultiplier (SiPM), this method leads to a significant increase in the number of readout channels. In this study, we proposed a novel multiplexing method that could effectively reduce the number of readout channels to reduce system complexity and development cost. The proposed multiplexing circuit was designed to generate bipolar pulses with different zero-crossing points by adjusting the time constant of the high-pass filter connected to each channel of a pixelated photo-sensor. The channel position of the detected gamma-ray was identified by estimating the width between the rising edge and the zero-crossing point of the bipolar pulse. In order to evaluate the performance of the proposed multiplexing circuit, four detector blocks, each consisting of a 4 × 4 array of 3 mm × 3 mm × 20 mm LYSO and a 4 × 4 SiPM array, were constructed. The average energy resolution was 13.2 ± 1.1% for all 64 crystal pixels and each pixel position was accurately identified. A coincidence timing resolution was 580 ± 12 ps. The experimental results indicated that the novel multiplexing method proposed in this study is able to effectively reduce the number of readout channels while maintaining accurate position identification with good energy and timing performance. In addition, it could be useful for the development of PET systems consisting of a large number of pixelated detectors.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.551-562
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• 2021

This study aimed to identify the effect of resilience and positive psychological capital on hospital nurses' professional quality of life. A cross-sectional survey design was utilized to investigate 221 general hospital nurses from June 1 to 30, 2021. Professional quality of life (ProQOL), which is conceptualized with three sub-dimensions (compassion satisfaction, burnout, and secondary traumatic stress), resilience, and positive psychological capital variables were measured. There was a positive relationship between compassion satisfaction and resilience, positive psychological capital, and a negative relationship among burnout, secondary traumatic stress, and the other variables in this study. The main factors influencing compassion satisfaction were resilience, and positive psychological capital, which explained about 47% of compassion satisfaction. Burnout was influenced by resilience, positive psychological capital, and work pattern, and these variables explained about 37% of burnout. Notably, it was found that resilience was the most crucial factor in nurses' compassion satisfaction, and positive psychological capital was the most crucial factor in nurses' burnout. Thus, it is suggested to develop and verify the effectiveness of a resilience improvement program and positive psychological intervention program to strengthen the internal resources of hospital nurses.

• The Journal of Korean Society for School & Community Health Education
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• v.19 no.3
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• pp.109-121
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• 2018

Background & objectives: Life style modification reduces the health risks of young people and improves their health status. Physical activity is known the effective factor to reduce health risks and health problems. This study performed to analyze health promotion behaviors related to physical activity among first-year students of university. Methods: To examine the association with physical activity and health promotion practices, health survey was conducted with 3,806 students who were first-year students in a university by self-reported questionnaire from February 26 to March 10, 2015. Multiple logistic regression analysis was performed to identify the difference of health promotion behaviors by physical activities. Results: 51.4% of the first-year student was regular exercisers who had practiced on regular walking exercise or regular strength exercise or regular aerobic exercise for a week. 87.8% of students exercised one or more times within the last one week. On the other hand, 12.2% of them did not exercise. In multiple logistic regression models, it remained significantly the difference of regular exercise by gender, subjective health status, sleeping time per one day, BMI, drinking behavior, and eating habit (p<0.05, p<0.01, p<0.001). Also it remained significantly the difference by physical activity type, such as walking, strengthen, and aerobic exercise (p<0.05, p<0.01, p<0.001). Conclusion: To help the achievement of academic goal, it should build physical activity policies and comprehensive health promotion programs to reduce health risk factors of university students. Comprehensive university health services and customized program for university students could help to make the best of their health. In future, to enhance physical activity practice, it needs to develop various tailed messages and smart healthcare service using health information technology (IT) on campus.

• Healthcare Informatics Research
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• v.24 no.4
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• pp.283-291
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• 2018

Objectives: To identify the current status of smartphone usage and to describe the needs for smartphone-based cardiac telerehabilitation of cardiac patients. Methods: In 2016, a questionnaire survey was conducted in a supervised ambulatory cardiac rehabilitation (CR) program in a university affiliated hospital with the participation of heart failure or heart transplantation patients who were smartphone users. The questionnaire included questions regarding smartphone usage, demands for smartphone-based disease education, and home health monitoring systems. Results were described and analyzed according to principal diagnosis. Results: Ninety-six patients (66% male; mean age, $5{\pm}11$ years), including 56 heart failure and 40 heart transplantation patients, completed the survey (completion rate, 95%). The median daily smartphone usage time was 120 minutes (interquartile range, 60-300), and the most frequently used smartphone function was text messaging (61.5%). Of the patients, 26% stated that they searched for health-related information using their smartphones more than 1 time per week. The major source of health-related information was Internet browsing (50.0%), and the least sought source was the hospital's website (3.1%). Patients with heart failure expressed significantly higher needs for disease education on treatment plan, home health monitoring of blood pressure, and body weight (${\chi}^2=5.79$, 6.27, 4.50, p < 0.05). Heart transplantation patients expressed a significant need for home health monitoring of body temperature (${\chi}^2=5.25$, p < 0.05). Conclusions: Heart failure and heart transplantation patients show high usage of and interest in mobile health technology. A smartphone-based cardiac telerehabilitation program should be developed based on high demand areas and modified to suit to each principal diagnosis.