• Title/Summary/Keyword: health monitoring application

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eCRF use case in Korean Medicine Global Health Business - Focused on Smoking Cessation Program in Vietnam (2017) - (해외 한의약 건강증진사업에서 eCRF시스템 활용사례 - 2017년 베트남 금연사업을 중심으로 -)

  • Mok, Kyungyul;Lee, Eunkyung;Kang, Sohyeon;Park, Jaeeun;Shine, Yong-Cheol;Jang, Bo-Hyoung;Ko, Seong-Gyu
    • Journal of Society of Preventive Korean Medicine
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    • v.22 no.1
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    • pp.91-105
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    • 2018
  • Objectives : The purpose of this study was to introduce the case of using eCRF system in the Smoking Cessation Program project in Vietnam (2017). And aimed to derive the usefulness of the eCRF system and it potential for future global health business. Method : Introduce the smoking cessation program in vietnam (2017). Smoking Cessation was conducted in three provices of central vietnam Tamphu, Binhtu, Duytrinh) and eCRF was developed on the web environment by building AMP(Apache, PHP, MySQL). Dedicated application have also been developed for user. Result : Using the eCRF, the results of the program of the smoking cessation participants were recorded on the Database server. The implemented system focused on the role of a case recording platform that was simplified in function rather than an electronic version of the case report. It was useful for monitoring. Conclusions : The eCRF system was useful in global health business, and upgrading the system to reflect the feedback derived from the project could potentially be used in other projects. In addition, there are few cases where ICT is used in overseas health promotion projects using Oriental medicine, so further research is needed.

Development of "Drink Smart" Alcohol Education Program for University Students: Application of the Intervention Mapping and Transtheoretical Model (대학생 절주교육 프로그램(과음없는 캠퍼스 만들기) 개발: Intervention Mapping과 Transtheoretical Model의 적용)

  • Kim, Hye-Kyeong;Kim, Myung;Lee, Eun-Hee;Kwon, Eun-Joo;Cho, Han-Ik
    • Korean Journal of Health Education and Promotion
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    • v.28 no.5
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    • pp.145-160
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    • 2011
  • Objectives: This study attempted to apply the Intervention mapping and Transtheoretical models to develop a program to promote moderate alcohol drinking in university students. Methods: Surveyed data from 1,137 university students were analyzed to identify personal and environmental determinants for alcohol drinking. Based on these determinants, program objectives were established. Crossing the objectives with related important determinants resulted in matrices of learning objectives for which educational strategies were developed. Subsequently, an intervention program were designed to achieve those objectives. Results: Identified personal determinants included awareness, attitudes, self-efficacy and behavioral skills. Environmental determinants were binge drinking behaviors of family members and peers, and social pressure for drinking. Program, impact and learning objectives were developed to change the identified determinants. Program activities included provision of information on positive and negative consequences of binge drinking, opportunities for assessing one's drinking pattern, increasing outcome expectancies of and skill building for monitoring drinking, resisting peer pressure and managing stress. To facilitate adoption and maintenance of the program, an intervention diffusion plan was suggested. An evaluation plan was developed by utilizing RE-AIM framework. Conclusions: In order to expand evidence bases for effective theory-based programs, the developed program should be tested in diverse university settings.

Development of a Label-Free LC-MS/MS-Based Glucosylceramide Synthase Assay and Its Application to Inhibitors Screening for Ceramide-Related Diseases

  • Fu, Zhicheng;Yun, So Yoon;Won, Jong Hoon;Back, Moon Jung;Jang, Ji Min;Ha, Hae Chan;Lee, Hae Kyung;Shin, In Chul;Kim, Ju Yeun;Kim, Hee Soo;Kim, Dae Kyong
    • Biomolecules & Therapeutics
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    • v.27 no.2
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    • pp.193-200
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    • 2019
  • Ceramide metabolism is known to be an essential etiology for various diseases, such as atopic dermatitis and Gaucher disease. Glucosylceramide synthase (GCS) is a key enzyme for the synthesis of glucosylceramide (GlcCer), which is a main ceramide metabolism pathway in mammalian cells. In this article, we developed a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method to determine GCS activity using synthetic non-natural sphingolipid C8-ceramide as a substrate. The reaction products, C8-GlcCer for GCS, could be separated on a C18 column by reverse-phase high-performance liquid chromatography (HPLC). Quantification was conducted using the multiple reaction monitoring (MRM) mode to monitor the precursor-to-product ion transitions of m/z $588.6{\rightarrow}264.4$ for C8-GlcCer at positive ionization mode. The calibration curve was established over the range of 0.625-160 ng/mL, and the correlation coefficient was larger than 0.999. This method was successfully applied to detect GCS in the human hepatocellular carcinoma cell line (HepG2 cells) and mouse peripheral blood mononuclear cells. We also evaluated the inhibition degree of a known GCS inhibitor 1-phenyl-2-decanoylamino-3-morpholino-1-propanol (PDMP) on GCS enzymatic activity and proved that this method could be successfully applied to GCS inhibitor screening of preventive and therapeutic drugs for ceramide metabolism diseases, such as atopic dermatitis and Gaucher disease.

A review of big data analytics and healthcare (빅데이터 분석과 헬스케어에 대한 동향)

  • Moon, Seok-Jae;Lee, Namju
    • Journal of the Korean Applied Science and Technology
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    • v.37 no.1
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    • pp.76-82
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    • 2020
  • Big data analysis in healthcare research seems to be a necessary strategy for the convergence of sports science and technology in the era of the Fourth Industrial Revolution. The purpose of this study is to provide the basic review to secure the diversity of big data and healthcare convergence by discussing the concept, analysis method, and application examples of big data and by exploring the application. Text mining, data mining, opinion mining, process mining, cluster analysis, and social network analysis is currently used. Identifying high-risk factor for a certain condition, determining specific health determinants for diseases, monitoring bio signals, predicting diseases, providing training and treatments, and analyzing healthcare measurements would be possible via big data analysis. As a further work, the big data characteristics provide very appropriate basis to use promising software platforms for development of applications that can handle big data in healthcare and even more in sports science.

Application of Evaporative Stress Index (ESI) for Satellite-based Agricultural Drought Monitoring in South Korea (위성영상기반 농업가뭄 모니터링을 위한 Evaporative Stress Index (ESI)의 적용성 평가)

  • Yoon, Dong-Hyun;Nam, Won-Ho;Lee, Hee-Jin;Hong, Eun-Mi;Kim, Taegon;Kim, Dae-Eui;Shin, An-Kook;Svoboda, Mark D.
    • Journal of The Korean Society of Agricultural Engineers
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    • v.60 no.6
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    • pp.121-131
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    • 2018
  • Climate change has caused changes in environmental factors that have a direct impact on agriculture such as temperature and precipitation. The meteorological disaster that has the greatest impact on agriculture is drought, and its forecasts are closely related to agricultural production and water supply. In the case of terrestrial data, the accuracy of the spatial map obtained by interpolating the each point data is lowered because it is based on the point observation. Therefore, acquisition of various meteorological data through satellite imagery can complement this terrestrial based drought monitoring. In this study, Evaporative Stress Index (ESI) was used as satellite data for drought determination. The ESI was developed by NASA and USDA, and is calculated through thermal observations of GOES satellites, MODIS, Landsat 5, 7 and 8. We will identify the difference between ESI and other satellite-based drought assessment indices (Vegetation Health Index, VHI, Leaf Area Index, LAI, Enhanced Vegetation Index, EVI), and use it to analyze the drought in South Korea, and examines the applicability of ESI as a new indicator of agricultural drought monitoring.

A Development of the Prototypes of Smart Sportswear for Trekking and Jogging (트레킹 및 조깅을 위한 스마트 스포츠웨어의 프로토타입 개발)

  • Kim Young-Jun;Kim Hoo-Sung;Seo Jung-Hoon;Lee Sun-Young;Lee Joo-Hyeon;Hwang Eun-Soo;Cho Hyun-Seung
    • Science of Emotion and Sensibility
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    • v.8 no.3
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    • pp.213-220
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    • 2005
  • The purpose of this study is to develop a modular model of smart clothing which can integrate various digital devices in clothing, maintaining the inherent attribute of clothing. For achieving this purpose, several technological devices for the smart clothing for listening to music, bio-monitoring, and environment monitoring were developed, through multidisciplinary cooperation. As the result, total four design prototypes of smart sportswear(trekking wear, jogging wear) for the application of entertainment and health care were suggested.

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Enhanced Secure Sensor Association and Key Management in Wireless Body Area Networks

  • Shen, Jian;Tan, Haowen;Moh, Sangman;Chung, Ilyong;Liu, Qi;Sun, Xingming
    • Journal of Communications and Networks
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    • v.17 no.5
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    • pp.453-462
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    • 2015
  • Body area networks (BANs) have emerged as an enabling technique for e-healthcare systems, which can be used to continuously and remotely monitor patients' health. In BANs, the data of a patient's vital body functions and movements can be collected by small wearable or implantable sensors and sent using shortrange wireless communication techniques. Due to the shared wireless medium between the sensors in BANs, it may be possible to have malicious attacks on e-healthcare systems. The security and privacy issues of BANs are becoming more and more important. To provide secure and correct association of a group of sensors with a patient and satisfy the requirements of data confidentiality and integrity in BANs, we propose a novel enhanced secure sensor association and key management protocol based on elliptic curve cryptography and hash chains. The authentication procedure and group key generation are very simple and efficient. Therefore, our protocol can be easily implemented in the power and resource constrained sensor nodes in BANs. From a comparison of results, furthermore, we can conclude that the proposed protocol dramatically reduces the computation and communication cost for the authentication and key derivation compared with previous protocols. We believe that our protocol is attractive in the application of BANs.

A Lightweight HL7 Message Strategy for Real-Time ECG Monitoring (실시간 심전도 모니터링을 위한 HL7 메시지 간소화 전략)

  • Lee, Kuyeon;Kang, Kyungtae;Lee, Jaemyoun;Park, Juyoung
    • KIISE Transactions on Computing Practices
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    • v.21 no.3
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    • pp.183-191
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    • 2015
  • Recent developments in IT have made real-time ECG monitoring possible, and this represents a promising application for the emerging HL7 standard for the exchange of clinical information. However, applying the HL7 standard directly to real-time ECG monitoring causes problems, because the partial duplication of data within an HL7 message increases the amount of data to be transmitted, and the time taken to process it. We reduce these overheads by Feature Scaling, by standardizing the range of independent variables or features of data, while nevertheless generating HL7-compliant messages. We also use a De-Duplication algorithm to eliminate the partial repetition of the OBX field in an HL7 ORU message. Our strategy shortens the time required to create messages by 51%, and reduces the size of messages by 1/8, compared to naive HL7 coding.

Environment and Development of the Weather Monitoring Application in Kosovo

  • Shabani, Milazim;Baftiu, Naim;Baftiu, Egzon;Maloku, Betim
    • International Journal of Computer Science & Network Security
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    • v.22 no.8
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    • pp.371-379
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    • 2022
  • The environment in Kosovo is a topic of concern for the citizens and the state because of the temperatures that affect the health of the citizens and the climate around the world. Kosovo's climate is related to its geographical position. Stretching in the middle latitude, Kosovo's climate depends on the amount of heat coming from the Sun, the proximity of the Adriatic Sea, the Vardar valley, the openness to the north. In order to better understand the climatic features of Kosovo, one must know the elements of the climate such as: sunshine, temperature, precipitation, atmospheric pressure, winds. The Meteorological Institute of Kosovo is responsible for measuring temperatures in Kosovo since 2014 and until now 12 meteorological stations have been operationalized with automatic measurement and real-time data transfer to the central system for data collection and archiving. The hydrometeorological institute lacks an application for measuring temperatures in all the countries of Kosovo. Software applications are generally built to suit the requirements of different governments and clients in order to enable easier management of the jobs they operate on. One of the forms of application development is the development of mobile applications based on android. The purpose of the work is to create a mobile application based on the Android operating system that aims to display information about the weather, this type of application is necessary and important for users who want to see the temperature in different places in Kosovo, but also the world. This type of application offers many options such as maximum temperature, minimum temperature, humidity, and air pressure. The built application will have real and accurate data; this will be done by comparing the results with other similar applications. Such an application is necessary for everyone, especially for those people whose daily work is dependent on the weather or even for those who decide to spend their vacations, such as summer or winter. In this paper, comparisons are also made within android applications for tablets, televisions and smart watches.

The Infant and Child Growth Assistance System Based on a Smartphone

  • Byun, Ki-Won;Kang, Joon-Gyu
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.8
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    • pp.95-103
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    • 2016
  • Food habit forming the basis for a lifetime of food and nutrient intake is established in early childhood and has an effect to the child's growth, sociality, and obesity. A variety of nutrition screening tools exists for assessing the health and nutrition status of children such as the Growth Curve, for determining if growth is appropriate. Body mass index(BMI) as a more reliable index of overweight to prevent childhood obesity, and Nutrition Quotient(NQ) and eating behaviors questionnaire for young children and parents to estimate their nutrient intake adequate or not. Such tools are mainly used by health practitioners, such as doctor and dietitian to provide nutrition intervention services to children at risk, especially and are not easy to use for general parents, who need assessment at any time and at any place. We propose Growth Assistance System for infants and children, which is possible to assess their physical condition, nutritional status, and eating behavior integrated. To be convenient and portable, it is implemented over the smartphone as an application. The system offers the growth charts, the BMI curves, NQ and eating behavior questionnaire to take a monitoring and the functionalities operate well. We hereby expect this system support the normal growth and development of infants and young children. And also support for the health practitioner (dietitians and nutritionists) to take a role in providing nutrition counseling and education to children needing nutrition services.