• Journal of Nutrition and Health
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• 제55권6호
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• pp.601-616
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• 2022

In the era of the fourth industrial revolution technology, the inclusion of personalized nutrition for healthcare (PNH), when establishing a healthcare platform to prevent chronic diseases such as obesity, diabetes, cerebrovascular and cardiovascular disease, pulmonary disease, and inflammatory diseases, enhances the national competitiveness of global healthcare markets. Furthermore, since the government experienced COVID-19 and the population dead cross in 2020, as well as numerous health problems due to an increasing super-aged Korean society, there is an urgent need to secure, develop, and utilize PNH-related technologies. Three conditions are essential for the development of PNH technologies. These include the establishment of causality between obesity genome (genotype) and prevalence (phenotype) in Koreans, validation of clinical intervention research, and securing PNH-utilization technology (i.e., algorithm development, artificial intelligence-based platform, direct-to-customer [DTC]-based PNH, etc.). Therefore, a national control tower is required to establish appropriate PNH infrastructure (basic and clinical research, cultivation of PNH-related experts, etc.). The post-corona era will be aggressive in sharing data knowledge and developing related technologies, and Korea needs to actively participate in the large-scale global healthcare markets. This review provides the importance of scientific evidence based on a huge dataset, which is the primary prerequisite for the DTC obesity gene-based PNH technologies to be competitive in the healthcare market. Furthermore, based on comparing domestic and internationally approved DTC obese genes and the current status of Korean obesity genome-based PNH research, we intend to provide a direction to PNH planners (individuals and industries) for establishing scientific PNH guidelines for the prevention of obesity.

• 벤처창업연구
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• 제17권4호
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• pp.163-172
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• 2022

본 연구는 디지털 헬스케어 서비스 제공자의 보호동기를 형성하는 위험평가와 대처평가가 정보보호의도의 주요한 요인인 유도통제의도와 자기방어의도에 미치는 영향을 확인하고자 한다. 연구모형은 보호동기이론을 기반으로 기존 선행연구를 통해 심각성, 취약성, 반응효능감, 자기효능감을 독립변수로 채택하였다. 연구모형 검증을 위해 한국의 디지털 헬스케어 서비스 기업 임직원 222명을 대상으로 설문조사를 실시하였으며, 데이터는 구조방정식을 사용하여 분석하였다. 연구결과에 따르면 (1) 보안위협의 결과에 대한 명확한 인지가 디지털 헬스케어 서비스 제공자의 정보유출 사고에 대한 심각성에 대한 이해를 높여주고, 이를 통해 디지털 헬스케어 서비스 제공자의 오남용을 줄일 수 있으며, (2) 보안시스템에 대한 디지털 헬스케어 서비스 제공자의 신뢰와 만족이 스스로 정보유출에 대응할 수 있다는 자신감을 형성시킬 수 있고, (3) 디지털 헬스케어 서비스 제공자는 정보유출로 인해 돌아오는 결과를 인지하고 있지만, 실제 자신에게 발생할 수 있는 가능성은 적다고 생각하고 있음을 확인하였다. 이 연구결과는 디지털 헬스케어 서비스를 운영하는 벤처기업은 디지털 헬스케어 서비스 제공자의 정보보호의도를 높이기 위해서 디지털 헬스케어 서비스 제공자의 보안수준을 높일 수 있는 지속적인 콘텐츠 제공이 필요하고, 타 벤처기업대비 높은 수준의 보안시스템을 도입하여 디지털 헬스케어 서비스 제공자의 신뢰를 통해 정보보호 동기유발이 중요하다는 점을 시사한다.

• 동의생리병리학회지
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• 제26권5호
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• pp.745-752
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• 2012

This study aims to show the change of Heart Rate Variability(HRV) and Pulse wave velocity(PWV) on menstruation in women at college. Heart Rate Variability(HRV) and Pulse wave velocity(PWV) of 122 women at college were measured at their menstruation and ordinary period. SDNN, RMSSD, SDSD, HRV Index(%), stress resistance and cardiac activity were significantly higher at their menstruation than ordinary period, but Total Power and pNN50(%) were opposite. The automatic nervous system balance and physical stress were decreased in groups without dysmenorrhea than with one. PWV(E-R) and PWV(E-L) were much higher at menstruation than ordinary period. PTT(F-R) and PTT(F-L) were decreased in groups without dysmenorrhea than with severe one. We demonstrated that menstruation can effect on Heart Rate Variability and Pulse wave velocity and dysmenorrhea can cause the imbalance of autonomic nervous system.

• Smart Structures and Systems
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• 제21권2호
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• pp.225-234
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• 2018

E-Health allows you to supersede the central patient wireless healthcare system. Wireless Body Sensor Network (WBSN) is the first phase of the e-Health system. In this paper, we aim to understand e-Health architecture and configuration, and attempt to minimize energy consumption and latency in transmission routing protocols during restrictive latency in data delivery of WBSN phase. The goal is to concentrate on polling protocol to improve and optimize the routing time interval and schedule communication to reduce energy utilization. In this research, two types of network models routing protocols are proposed - elemental and clustering. The elemental model improves efficiency by using a polling protocol, and the clustering model is the extension of the elemental model that Destruct Supervised Decision Tree (DSDT) algorithm has been proposed to solve the time interval conflict transmission. The simulation study verifies that the proposed models deliver better performance than the existing BSN protocol for WBSN.

• Journal of information and communication convergence engineering
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• 제22권1호
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• pp.7-13
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• 2024

User preferences and ratings may be anticipated by recommendation systems, which are widely used in social networking, online shopping, healthcare, and even energy efficiency. Constructing trustworthy recommender systems for various applications, requires the analysis and mining of vast quantities of user data, including demographics. This study focuses on holding elections with vague voter and candidate preferences. Collaborative user ratings are used by filtering algorithms to provide suggestions. To avoid information overload, consumers are directed towards items that they are more likely to prefer based on the profile data used by recommender systems. Better interactions between governments, residents, and businesses may result from studies on recommender systems that facilitate the use of e-government services. To broaden people's access to the democratic process, the concept of "e-democracy" applies new media technologies. This study provides a framework for an electronic voting advisory system that uses machine learning.

• 한국의류산업학회지
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• 제26권1호
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• pp.123-136
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• 2024

This study aimed to assess the mobility and thermal comfort of personal protective equipment (PPE) among female healthcare workers, taking into account wearers' physique and PPE protection levels. A total of 16 participants (age: 26.3 ± 8.3 y, height: 161.5 ± 7.3 cm, body weight: 57.1 ± 11.0 kg, BMI: 21.9 ± 3.6), representing diverse body types, underwent four PPE conditions: L (Low_Plastic gown ensemble), M (Medium_Tyvek 400), H (High_Tyvek 800J with Powered Air Purifying Respirator [PAPR]), and E (Extremely high_Tychem 2000 with PAPR, Bib apron, and Chemical-resistant gloves). The mobility protocol consisted of 10 different tasks in addition to donning and doffing. The 10 tasks were repeated twice at an air temperature of 24.3 ± 0.1℃, 59±4%RH. Findings revealed a disproportionate relationship between PPE protection and wearer discomfort. Significant differences in clothing microclimate and total sweat rate were observed between the lowest (L) and highest (E) protection levels (p < 0.01), while distinctions among medium levels were inconclusive. Subjective evaluations favored conditions H and L over M and E (p < 0.05), indicating reduced heat, and humidity, increased comfort, and lower exertion. Instances of mobility discomfort, specially in the small body type group, underscored the need for a suitable PPE size system for Korean adult female medical workers. Furthermore, enhancements in gloves, shoe cover, and PAPR hood designs are essential for improving ease of movement and preventing hindrance.

• 한국멀티미디어학회논문지
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• 제14권1호
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• pp.121-132
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• 2011

건강관리 시스템은 자신의 건강상태를 주기적으로 체크하여 질병의 조기발견과 예방에 도움을 주기 위한 의료정보 시스템의 일종이다. 이러한 건강관리 시스템은 신체에서 획득한 신호를 기반으로 한다. 하지만 현재 개발되어 있는 건강관리 시스템은 생체신호를 저장하는 방법과 표현법이 의료기기마다 다르며, 건강 상태를 평가하는 방법 또한 다르다. 이는 시스템간의 상호운용성 결핍, 소프트웨어 개발 비용의 증대, 획일화된 시스템의 부재라는 단점을 가져온다. 이에 본 논문에서는 메타모텔을 기반으로 건강관리 시스템을 개발한다. 이를 위하여 생체신호 데이터를 HL7의 표준 메타모델기반으로 표현 및 저장하고, 건강에 대한 위험요소를 평가하기 위해 웰니스지표 정의 및 데이터 추출을 수학적 명세언어인 OCL을 사용한다. 또한 OSGi기반으로 컴포넌트를 구현하고 조립하여 다양한 디바이스 및 시스템의 확장을 쉽도록 한다. 메타모델기반으로 생체 데이터를 표현함으로써 시스템간의 상호운용성을 확보할 수 있으며, OCL을 사용하여 웰니스지표를 정의함으로써 건강 상태 평가방법의 표준화를 유도하고, 명확한 명세가 가능하다는 장점을 가진다.

• 제어로봇시스템학회논문지
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• 제13권3호
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• pp.205-209
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• 2007

Today, there are research trends about the wearable sensor device that measures various bio-signals and provides healthcare services to user using e-Health technology. This study describes the wearable sensor glove using pulse-wave sensor, conducting fabric and embedded system. This wearable sensor glove is based on the pulse-wave measurement system which is able to measure the pulse wave signal in much use of oriental medicine on the basis of a research trend of e-Health system.

• 대한간호학회지
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• 제54권1호
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• pp.1-17
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• 2024

Purpose: The significance of the healthcare industry has grown exponentially in recent years due to the impact of the fourth industrial revolution and the ongoing pandemic. Accordingly, this study aimed to examine domestic healthcare-related patents comprehensively. Big data analysis was used to present the trend and status of patents filed in nursing. Methods: The descriptive review was conducted based on Grant and Booth's descriptive review framework. Patents related to nursing was searched in the Korea Intellectual Property Rights Information Service between January 2016 to December 2020. Data analysis included descriptive statistics, phi-coefficient for correlations, and network analysis using the R program (version 4.2.2). Results: Among 37,824 patents initially searched, 1,574 were selected based on the inclusion criteria. Nursing-related patents did not specify subjects, and many patents (41.4%) were related to treatment in the healthcare delivery phase. Furthermore, most patents (56.1%) were designed to increase effectiveness. The words frequently used in the titles of nursing-related patents were, in order, "artificial intelligence," "health management," and "medical information," and the main terms with high connection centrality were "artificial intelligence" and "therapeutic system." Conclusion: The industrialization of nursing is the best solution for developing the healthcare industry and national health promotion. Collaborations in education, research, and policy will help the nursing industry become a healthcare industry of the future. This will prime the enhancement of the national economy and public health.

• 한국전자거래학회지
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• 제26권2호
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• pp.1-17
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• 2021

본 연구는 디지털헬스케어서비스에서 사용자기대와 사용자효용의 매개요인을 사용하여 서비스 품질의 특성들이 지속사용의도에 미치는 효과를 분석하였다. 첫째, 독립요인을 서비스품질 차원으로 통합하였으며, 기존 연구들을 토대로 독립요인들을 도출하였다. 도출된 독립요인은 기술적특성, 사용자특성, 의료서비스특성 등의 3개의 관점으로 구분하였으며, 각각의 독립요인 특성이 지속사용의도에 어떻게 영향을 주는지를 연구하였다. 둘째는 사용자기대와 사용자효용이라는 2개의 매개요인들이 독립요인과 종속요인을 매개하는지를 분석하였다. 본 연구에서는 357개의 설문을 사용하였으며 의미 있는 분석결과는 사용자특성 요인이 사용자기대와 사용자 효용 그리고 지속사용의도에 연속적으로 영향을 미치는 독립요인이라는 것을 발견하였다. 분석 결과을 요약하면 다음과 같다. (1) 사용자특성 요인은 사용자기대와 사용자효용 매개요인에 영향을 주고, 이들 매개요인들은 지속사용의도 종속요인에 영향을 미친다. (2) 기능성, 호환성 그리고 편의성 하위요인들로 구성된 기술적특성 독립요인과 혁신성 하위요인을 갖는 사용자 특성 독립요인은 사용자기대 매개요인에 영향을 주고, 사용자기대 매개요인은 지속사용의도 종속 요인에 영향을 준다. (3) 신뢰성, 운영용이성, 안전성 그리고 정확도 하위요인들로 구성된 의료 서비스특성 독립요인은 사용자효용 매개요인에 영향을 주고, 사용자효용 매개요인은 다시 지속 사용의도 종속요인에 영향을 미친다.