• Journal of information and communication convergence engineering
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• 제10권4호
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• pp.337-342
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• 2012

The medical industries are integrated with information technology with mobile devices and wireless communication. The advent of mobile healthcare systems can benefit patients and hospitals, by not only providing better quality of patient care, but also by reducing administrative and medical costs for both patients and hospitals. Security issues present an interesting research topic in wireless and pervasive healthcare networks. As information technology is developed, many organizations such as government agencies, public institutions, and corporations have employed an information system to enhance the efficiency of their work processes. For the past few years, healthcare organizations throughout the world have been adopting health information systems (HIS) based on the wireless network infrastructure. As a part of the wireless network, a mobile agent has been employed at a large scale in hospitals due to its outstanding mobility. Several vulnerabilities and security requirements related to mobile devices should be considered in implementing mobile services in the hospital environment. Secure authentication and protocols with a mobile agent for applying ubiquitous sensor networks in a healthcare system environment is proposed and analyzed in this paper.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권1호
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• pp.35-57
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• 2021

Fog computing aims to provide the solution of bandwidth, network latency and energy consumption problems of cloud computing. Likewise, management of data generated by healthcare IoT devices is one of the significant applications of fog computing. Huge amount of data is being generated by healthcare IoT devices and such types of data is required to be managed efficiently, with low latency, without failure, and with minimum energy consumption and low cost. Failures of task or node can cause more latency, maximum energy consumption and high cost. Thus, a failure free, cost efficient, and energy aware management and scheduling scheme for data generated by healthcare IoT devices not only improves the performance of the system but also saves the precious lives of patients because of due to minimum latency and provision of fault tolerance. Therefore, to address all such challenges with regard to data management and fault tolerance, we have presented a Fault Tolerant Data management (FTDM) scheme for healthcare IoT in fog computing. In FTDM, the data generated by healthcare IoT devices is efficiently organized and managed through well-defined components and steps. A two way fault-tolerant mechanism i.e., task-based fault-tolerance and node-based fault-tolerance, is provided in FTDM through which failure of tasks and nodes are managed. The paper considers energy consumption, execution cost, network usage, latency, and execution time as performance evaluation parameters. The simulation results show significantly improvements which are performed using iFogSim. Further, the simulation results show that the proposed FTDM strategy reduces energy consumption 3.97%, execution cost 5.09%, network usage 25.88%, latency 44.15% and execution time 48.89% as compared with existing Greedy Knapsack Scheduling (GKS) strategy. Moreover, it is worthwhile to mention that sometimes the patients are required to be treated remotely due to non-availability of facilities or due to some infectious diseases such as COVID-19. Thus, in such circumstances, the proposed strategy is significantly efficient.

• 대한임베디드공학회논문지
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• 제10권4호
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• pp.221-231
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• 2015

This paper provides the trend of Internet of Things (IoT) for smart healthcare services and applications. IoT has provided a promising opportunity to build intelligent healthcare system and smart wearable applications by using the growing capability of wireless mobile devices, interactive sensors/actuators, and RFID technologies. For analysis of state-of-art technology of smart healthcare system, this paper includes comparative analysis and investigation of existing standard, network protocol, and devices, etc. In this paper, we examine the market trend of IoT healthcare. In particular, we examine the variety of IoT based healthcare type such as mobile, wearable device. After that, we examine the technologies of IoT healthcare such as standard, sensor, network and security. This survey contributes to better understanding of the challenges in existing IoT healthcare and further new light on future research directions.

• 한국의류산업학회지
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• 제22권5호
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• pp.607-616
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• 2020

Health care wearables are devices that are attached to or combined with the human body to improve the health care capabilities of the human body that can be safely and adjustable according to preference. This study provided direction for future research on healthcare wearables in the field of clothing science, considering trends observed in this field from 2010 to 2019. Over the last 10 years, 812 studies have been conducted on healthcare wearables in Korea. Research has increased significantly since 2015, with a large number of articles published in this field. The research for this study was broken down into the following categories: technology development, marketing analysis, and technology analysis. The results according to the research method demonstrated that development and production methods were used most frequently, followed by trend analysis, experiment and evaluation, and survey. An analysis of keywords in the articles studied revealed that device, healthcare, big data (biometric data and database), and healthcare convergence technologies were trending. Similarly, detailed research on healthcare wearable devices and related technologies was actively being conducted. However, focusing on fiber, textiles, design, and clothing articles, in relation to the field of clothing in healthcare wearables, only 81 articles were found on this topic (10.0%), which was low compared to other studies. Therefore, it was determined that more research on healthcare wearables is necessary in the field of clothing.

• 한국컴퓨터정보학회논문지
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• 제27권7호
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• pp.57-64
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• 2022

본 논문에서는 최근 대두되고 있는 디지털 헬스케어의 정의와 개요, 핵심기술, 그리고 디지털 헬스케어 기기 및 데이터를 사이버공격으로부터 보호할 수 있는 디지털 헬스케어 차세대 정보보안모델 수립 방안을 제안하고자 한다. 디지털 헬스케어기기와 데이터를 대상으로 다양한 취약점이 존재하고 있으며, 그 취약점에 대하여 사이버공격이 가능하다. 디지털 헬스케어 기기 및 정보통신망에 대한 공격을 통하여 직접적으로 사람의 생명 및 건강에 악영향을 끼칠 수 있으며, 디지털 헬스케어 데이터는 의료, 민감정보와 개인정보를 포함하고 있으므로, 필수적으로 사이버공격으로부터 안전하게 보호를 해야 한다. 본 제안의 경우 디지털헬스기기에 대한 장비 및 통신망에 대한 사이버공격과 데이터에 대한 지속적인 안전한 관리를 위해서는 차세대 정보보호체계 수립을 통하여 보다 효과적이며, 지속적으로 대응할 수 있을 것으로 전망된다.

• 정보과학회 논문지
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• 제44권3호
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• pp.323-331
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• 2017

다양한 스마트기기들의 발달로, 최근 들어 스마트기기를 이용한 U-헬스케어 관련 서비스들이 증가하고 있다. 하지만 U-헬스케어 서비스는 민감한 개인의 건강 정보를 다루는 것이기 때문에 정보보안이 매우 중요하다. 정보보안 이슈를 해결하기 위해서는 의료정보에 대한 암호화 기능이 기본적으로 제공되어야 하며, 이를 위한 암호키 교환 방법이 필요하다. 따라서 본 논문에서는 스마트 기기들을 활용하여 안전한 U-헬스케어 서비스를 위한 키 교환 프로토콜을 제안한다. 제안하는 프로토콜은 스마트 기기들에 적합하도록 비교적 짧은 키 길이로 높은 보안성을 제공하는 타원곡선 기반의 공개키 암호방식을 기반으로 설계 되었다. 또한, 키 교환 프로토콜을 수행할 때, 스마트워치를 보조 기기로 활용함으로써 사용자 인증을 강화하고 보안성을 높였다.

• 전자공학회논문지
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• 제53권4호
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• pp.3-11
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• 2016

사물 인터넷 (Internet of Things : IoT) 환경에서 IoT 디바이스들은 전원이나 메모리 등의 물리적 구성요소들에 의해 제한되며 대역폭, 무선 채널, 처리율, 페이로드 등의 네트워크 성능 또한 제한적임에도 불구하고 타 IoT 디바이스들과 리소스를 공유한다. 특히 IoT 헬스케어 서비스에 있어서 원격 디바이스 정보 관리 뿐만 아니라 원격 환자 정보관리가 매우 중요하며, 더욱이, 사물인터넷 헬스케어 디바이스와 헬스케어 플랫폼간 상호연동성 지원이 매우 중요하다. 이를 위해서는 헬스케어 디바이스와 헬스케어 플랫폼간 데이터 정보 표현, 데이터 전송 표현, 메시지 규격 등이 사물인터넷 환경에 적합한 국제표준 준수가 매우 필요하다. 하지만, 기존의 국제의료정보 전송표준인 ISO/IEEE 11073 PHD (Personal Healthcare Device) 표준에서는 사물인터넷 환경 (네트워크 프로토콜)을 고려하지 않아 사물인터넷 헬스케어 서비스에 적용하기 어렵다. 이를 위해 본 논문에서는 사물인터넷 표준인 oneM2M과 의료정보 전송표준인 ISO/IEEE 11073 DIM(Domain Information Model)을 적용한 사물인터넷 헬스케어 시스템을 설계 및 구현하였다. 구현을 위해 oneM2M 기반인 OM2M 플랫폼을 활용하였고, 헬스케어 디바이스와 OM2M 플랫폼간 효율적인 전송 구문에 대한 평가를 위해 HTTP와 CoAP간, XML과 JSON간 단일 처리과정의 패킷 사이즈와 전송 패킷 수 등을 성능 분석하였다.

• Journal of Information Processing Systems
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• 제15권3호
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• pp.593-603
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• 2019

In wearable healthcare systems, sensor devices can be deployed in places around the human body such as the stomach, back, arms, and legs. The sensors use tiny batteries, which have limited resources, and old sensor batteries must be replaced with new batteries. It is difficult to deploy sensor devices directly into the human body. Therefore, instead of replacing sensor batteries, increasing the lifetime of sensor devices is more efficient. A transmission power control (TPC) algorithm is a representative technique to increase the lifetime of sensor devices. Sensor devices using a TPC algorithm control their transmission power level (TPL) to reduce battery energy consumption. The TPC algorithm operates on a closed-loop mechanism that consists of two parts, such as sensor and sink devices. Most previous research considered only the sink part of devices in the closed-loop. If we consider both the sensor and sink parts of a closed-loop mechanism, sensor devices reduce energy consumption more than previous systems that only consider the sensor part. In this paper, we propose a new approach to consider both the sensor and sink as part of a closed-loop mechanism for efficient energy management of sensor devices. Our proposed approach judges the current channel condition based on the values of various body sensors. If the current channel is not optimal, sensor devices maintain their current TPL without communication to save the sensor's batteries. Otherwise, they find an optimal TPL. To compare performance with other TPC algorithms, we implemented a TPC algorithm and embedded it into sensor devices. Our experimental results show that our new algorithm is better than other TPC algorithms, such as linear, binary, hybrid, and ATPC.

• 한국콘텐츠학회논문지
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• 제19권11호
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• pp.71-79
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• 2019

본 연구는 어린이집 IoT 헬스케어 디바이스 활용에 대한 부모와 교사의 인식과 요구를 실증적으로 알아보고자 수행되었다. 이를 위하여 부모 200명, 어린이집 교사 200명을 대상으로 설문조사를 실시하였다. 수집된 자료는 SPSS WIN 22.0을 이용하여 빈도분석, t-검정, 𝑥2 검정을 실시하였다. 연구결과 첫째, IoT 헬스케어 디바이스 활용에 대하여 교사가 부모에 비해 긍정적 인식과 지지도를 나타내어 더 높은 호감도를 보였으며 정보유출문제에 대해 부모보다 높은 인식을 나타내었다. 둘째 어린이집 IoT 헬스케어 디바이스 활용 요구로 교사, 부모 모두 응급상황 대처 영역과 웨어러블 형태에 대한 요구를 가장 높게 나타내었다. 비용은 부모, 교사 모두 기관과 부모가 공동으로 금액 부담의 요구를 가장 높게 나타내었다. 본 연구결과를 중심으로 어린이집에서 IoT 헬스케어 디바이스 활용 가능성을 논의하였다.

• 센서학회지
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• 제31권2호
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• pp.71-78
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• 2022

Wearable devices have the potential to revolutionize future medical diagnostics and personal healthcare. The integration of biosensors into scalable form factors allow continuous and noninvasive monitoring of key biomarkers and various physiological indicators. However, conventional wearable devices have critical limitations owing to their rigid and obtrusive interfaces. Recent developments in functional biocompatible materials, micro/nanofabrication methods, multimodal sensor mechanisms, and device integration technologies have provided the foundation for novel skin-interfaced bioelectronics for advanced and user-friendly wearable devices. Nonetheless, it is a great challenge to satisfy a wide range of design parameters in fabricating an authentic skin-interfaced device while maintaining its edge over conventional devices. This review highlights recent advances in skin-compatible materials, biosensor performance, and energy-harvesting methods that shed light on the future of wearable devices for digital health and personalized medicine.