• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.3
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• pp.273-280
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• 2012

As changed the clinical environment, the interest on u-Healthcare service and systems has been increased. The ubiquitous healthcare(u-Healthcare) systems are constructed at the integrated environment that consists of various devices and systems basically such as personal health devices(PHDs) measuring body signals, information aggregators gathering the data transmitted from PHDs through wireless technology, and health information systems storing and managing personal health information transmitted from the information aggregators. International standards such as IEEE 11073 and HL7 have been specified for the interoperability of PHDs and health information systems, but the research on u-Healthcare systems that were developed and applied in the real clinical environment by adopting the standards was rarely conducted. Therefore, we developed an u-Healthcare system which can manage personal health information, such as blood glucose, blood pressure, and body composition, based on health information exchange standards. Moreover, we verified the stability of the developed system through clinical trial in patients with endocrine disease at the Kyungpook National University Hospital, and listed problems occurred during clinical trial and found their solutions.

• Journal of the Institute of Convergence Signal Processing
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• v.18 no.1
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• pp.6-12
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• 2017

In this paper, we proposed IoT based Smart Health Service using Motion Recognition for Human UX/UI. Until now, sensor networks using M2M-based u-healthcare are using non-IP protocol instead of TCP / IP protocol. However, in order to increase the service utilization and facilitate the management of the IoT-based sensor network, many sensors are required to be connected to the Internet. Therefore, IoT-based smart health service is designed considering network mobility because it is necessary to communicate not only the data measured by sensors but also the Internet. In addition, IoT-based smart health service developed smart health service for motion detection as well as bio information unlike existing healthcare platform. WBAN communications used in u-healthcare typically consist of many networked devices and gateways. The method proposed in this paper can easily cope with dynamic changes even in a wireless environment by using a technology supporting mobility between WBAN sensor nodes, and systematic management is performed through detection of a user's motion.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.517-520
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• 2009

Healthcare application system has been actively researched to apply WSN technology to healthcare area with a mobile sensor node of low cost, low power, and small size. Sensor node has the problem for transmission range of RF power and time delay of the wireless routing connectivity between sensor nodes. In this paper, we proposes a new method utilizing mobile sensor nodes with relay sensor nodes for quick network routing changing using query technique in healthcare system. A query processor to control and manage the routing changing of sensor nodes in a wireless sensor network was designed and implemented. The user's PC transmits the beacon message which will change the quick link routing according to activity status of patient in wireless sensor network. We describe the implementation for query protocol that is very effective of power saving between sensor nodes.

• Journal of Convergence for Information Technology
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• v.8 no.3
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• pp.63-69
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• 2018

Recently, healthcare services are using cloud services to efficiently manage users' healthcare data. However, research to ensure the stability of the user's healthcare data processed in the cloud environment is insufficient. In this paper, we propose a partial random encryption scheme that efficiently encrypts healthcare data in a cloud environment. The proposed scheme generates two random keys (p, q) generated by the user to optimize for the hospital medical service and reflects them in public key and private key generation. The random key used in the proposed scheme improves the efficiency of user 's healthcare data processing by encrypting only part of the data without encrypting the whole data. As a result of the performance evaluation, the proposed method showed 21.6% lower than the existing method and 18.5% improved the user healthcare data processing time in the hospital.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.211-217
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• 2019

As the widespread use of mobile health intervention among Korean patients with chronic disease, it is needed to identify research trends in mobile health intervention on chronic care using text mining technique. This secondary data analysis was conducted to investigate characteristics and main research topics in intervention studies from 2005 to 2018 with a total of 20 peer reviewed articles. Microsoft Excel and Text Analyzer were used for data analysis. Mobile health interventions were mainly applied to hypertension, diabetes, stroke, and coronary artery disease. The most common type of intervention was to develop mobile application. Lately, 'feasibility', 'mobile health', and 'outcome measure' were frequently presented. Future larger studies are needed to identify the relationships among key terms and the effectiveness of mobile health intervention using social network analysis.

• Design Convergence Study
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• v.15 no.4
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• pp.1-16
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• 2016

Healthcare service helps users' health management by collecting an individual user's activity and biometric data from mobile devices and by providing them to the user. As a result, it has become necessary to perform a research on how to show the collected data. According to information visualization, the same data can have various interpretations depending on how they are represented. Healthcare data must be elivered to information acceptors without errors or distortion as they are directly related to people's health. With the expansion of healthcare service by the development of technology, this study could measure various data from users and was started to provide a necessary guideline for the visualization of measured numerical data. To propose a specific visualization by applying the visualization direction, 5 types of data including present value, measured value, relative value, relation data, and prediction value were set as the values necessary for the continuous use of mobile healthcare. Visualization was proposed concretely by applying clarity, variable comparison, brevity, relation, reliability, independence, and contextuality, which are the criteria for vitalizing the healthcare service.

• Design Convergence Study
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• v.15 no.1
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• pp.233-246
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• 2016

Mobile health industry has been combined with IT technology and is attracting attention. The health application has been developed to provide users a healthy life style. First of all, 5 mobile health applications were selected and reviewed in terms of their service trend. It turned out that none of those applications had any emotional data but physical one. Secondly, to extract users' emotion, technological researches were sorted into different categories. And the result implied that text-based emotion recognition technology is the most suitable for the mobile health service. To implement the service, the application was designed and developed the process of emotion recognition system based on the contents of the research. One-dimension emotion model, which is the standard of classifying emotional data and social network service, was set up as a source. In last, to suggest the usage of health application has been combined with persuasive technology. As a result, this paper prospered a overall service process, concrete service scheme and a guidelines containing 15 services in accordance with the five emotions and time. It is expected to become a direction for indicators considering a psychological individual context.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.10
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• pp.865-878
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• 2017

To realize the healthy life of human, mental, physical, and environmental factors must be managed continuously and stably. In order to manage human health, the 21st century healthcare field is essential ongoing interactions and convergence with ICT technologies. Such demands have created a convergence of technologies (fusion technology) in combination with the heterogeneous technologies. And, with the convergence of medical technology and ICT technologies, the development of personalized therapy environments is created. Advances in ICT-converged healthcare services are progressing due to the development of diverse wearable devices. Such ICT fusion system is exponentially increasing the complexity of the ICT convergence healthcare system and is resulting in various technical, institutional, environmental, and cultural issues. This study explores the status of developments in ICT healthcare technologies from the past to date, identifies major technology and policy issues to address these challenges. Finally it will recommend healthcare policies and a future road-map.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.391-396
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• 2024

This study proposes a novel reverse N-Gram approach to overcome the limitations of traditional N-Gram methods and enhance performance in building an entity dictionary specialized for the healthcare sector. The proposed reverse N-Gram technique allows for more precise analysis and processing of the complex linguistic features of healthcare-related big data. To verify the efficiency of the proposed method, big data on healthcare and digital health announced during the Consumer Electronics Show (CES) held each January was collected. Using the Python programming language, 2,185 news titles and summaries mentioned from January 1 to 31 in 2010 and from January 1 to 31 in 2024 were preprocessed with the new reverse N-Gram method. This resulted in the stable construction of a dictionary for natural language processing in the healthcare field.

• Review of Korea Contents Association
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• v.14 no.1
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• pp.25-28
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• 2016