• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.185-186
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• 2015

생활 속 사물들을 유 무선 네트워크를 이용하여 상호 연결하고 정보를 공유하는 환경을 사물인터넷이라고 한다. 즉, 인터넷을 기반으로 모든 사물을 연결하여 사람과 사물, 사물과 사물 간의 정보를 상호 소통하는 지능형 기술 및 서비스로서 기존의 유선 통신 기반 인터넷 및 모바일 인터넷보다 진화된 다음 단계의 인터넷을 의미한다고 볼 수 있다. 이러한 사물인터넷은 가전제품을 비롯한 전자기기뿐만 아니라 원격검침, 헬스케어, 스마트홈, 스마트카, 스마트팩토리 등의 다양한 분야에서 가정 및 산업용으로 응용되고 있다. 본 논문에서는 임베디드 디바이스를 사용하여 가정의 전자기기를 사용환경을 구성하고 이러한 장치들과 소통하고 제어할 수 있는 웹 기반의 플랫폼 환경에 대하여 제안한다.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.99-104
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• 2021

In this paper, we propose health risk management using feature extraction and cluster analysis considering time flow. The proposed method proceeds in three steps. The first is the pre-processing and feature extraction step. It collects user's lifelog using a wearable device, removes incomplete data, errors, noise, and contradictory data, and processes missing values. Then, for feature extraction, important variables are selected through principal component analysis, and data similar to the relationship between the data are classified through correlation coefficient and covariance. In order to analyze the features extracted from the lifelog, dynamic clustering is performed through the K-means algorithm in consideration of the passage of time. The new data is clustered through the similarity distance measurement method based on the increment of the sum of squared errors. Next is to extract information about the cluster by considering the passage of time. Therefore, using the health decision-making system through feature clusters, risks able to managed through factors such as physical characteristics, lifestyle habits, disease status, health care event occurrence risk, and predictability. The performance evaluation compares the proposed method using Precision, Recall, and F-measure with the fuzzy and kernel-based clustering. As a result of the evaluation, the proposed method is excellently evaluated. Therefore, through the proposed method, it is possible to accurately predict and appropriately manage the user's potential health risk by using the similarity with the patient.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.1
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• pp.61-66
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• 2014

As a key technology of U-health, RFID can be applied to the hospitals in a variety of cases such as patient tracking, medical instrument management, and so on. However, adoption of RFID in healthcare does not reach expectations because of huge cost. Exact estimation of cost and effectiveness will boost adoption of RFID in healthcare. This study proposes a novel simulation technique to evaluate cost and effectiveness of RFID in hospital environment. To do this, this study proposes a technique for modeling patients' movements in a hospital. Based on the model, this study provides how to obtain tag event dataset by means of simulating identifications of RFID tags that are attached to patients.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.231-232
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• 2015

최근 유전체학, NGS(Next Generation Sequencing) 기술, IT/NT 장비의 발전 등에 따라 방대한 양의 바이오-메디컬 데이터가 생산되고, 이에 따라 빅데이터를 활용한 헬스케어 산업이 급속히 발달하고 있으며, 이와 관련된 빅데이터 기술은 국민의 건강 증대와 건강한 고령 삶을 제공하는 핵심 기술로 급부상하고 있다. 패스웨이는 단백질, 유전자, 세포 등의 생체적 요소 간의 역학관계 혹은 상호작용 등을 네트워크 형식으로 표현한 생물학적 심층지식으로, 바이오-메디컬 빅데이터 분석에 있어서 널리 활용되고 있다. 하지만 패스웨이는 매우 다양한 형태를 갖고 용량이 매우 큰 빅데이터로 이를 분석하는데 많은 시간이 소요된다. 그래서 본 논문에서는 세계적으로 가장 우수하고 방대한 양의 패스웨이를 제공하는 KEGG 패스웨이 데이터베이스로부터 사용자가 관심 갖는 패스웨이만을 자동 수집하고 패스웨이 간 계층구조를 기반으로 네트워크를 구성 후, 해당 패스웨이 네트워크에 대한 클러스터링과 핵심 패스웨이 선정을 통해 패스웨이 간의 역학관계 또는 상호작용을 직관적으로 분석할 수 시스템을 제안했다.

• The Journal of Information Systems
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• v.25 no.2
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• pp.27-50
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• 2016

Purpose The purpose of this study is to examine the effect of the acceptance intention towards healthcare wearable device in Korea. Specifically, this study attempted to identify the relationships among the acceptance intention towards healthcare wearable device, technical characteristics and user's personal characteristic based on UTAUT(Unified Theory of Acceptance and Use of Technology) model. Design/methodology/approach For this purpose of research, we conducted against consumers who use the wearable devices and we collected data from 219 wearable device users. The analyses were conducted using SPSS and AMOS19.0 which is powerful structural equation modeling (SEM) software. Findings The main findings are as followed; First, functional diversity, wearability, trend sensitivity and health perception are significantly related to performance expectancy, while visual aesthetic and enjoyment are not significantly related. Second, performance expectancy and effort expectancy are significantly related to acceptance intention towards healthcare wearable device. Third, effort expectancy is significantly related to performance expectancy.

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.6
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• pp.530-539
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• 2015

A business model (BM) can be developed based on a business model framework (BMF) consisting of key components such as value proposition, customers, and resources. To systematically generate and analyze emerging BMs such as healthcare BM, an integration of diverse BMF components is needed. The present study is to establish a comprehensive BMF and evaluate its applicability to healthcare BMs. Based on a review of eight BMF studies, ten BMF components were identified and classified into five major components (value proposition, resources, organizing model, customers, and revenue model) and five minor components (technology, service platform, delivery, competitive strategy, and growth/exit) by analyses of frequency and functional importance. Lastly, the BMs of three emerging healthcare companies (WellDoc, Inc., CFW Shops, and Aravind Eye Care System) were analyzed and compared in terms of the proposed BMF components. The comprehensive BMF components presented in the study can be of help for developing new BMs and analyzing the strengths and weaknesses of BMs.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.71-77
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• 2024

The increasing use of smart devices in South Korea has led to a rise in patients with spinal disorders. This study aims to develop an Android application with exercise prompts to prevent spinal disorders, enhance the usability of healthcare applications, and utilize Android's overlay technology to encourage physical activity. Considering South Korea's total population, it is estimated that around one million individuals may suffer from spinal disorders due to smart device usage. Emphasizing the importance of maintaining proper posture and regular exercise habits, this research highlights the need for innovative application development to assist users in preventing musculoskeletal disorders caused by smart device usage.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.227-228
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• 2012

맥압증폭은 대동맥과 말초기관과의 혈압기능 평가 및 심혈관 질환을 예측하는 주요 매개변수로 나이와 관련이 높다. 그러나, 기존의 맥압증폭을 구하기 위해서는 관혈적인 방법으로 대동맥압을 측정하거나 혹은 전달함수와 같은 복잡한 대동맥압 추정 알고리즘을 구현하여 측정하여야 한다. 그러나, 유헬스를 활용한 스마트케어 환경에서 복잡한 알고리즘은 오히려, 계산량을 높이고, 시스템가격을 높일 수 있으므로, 최대한 단순화된 알고리즘이 필요하다. 본 논문에서는 맥압증폭을 주파수영역의 에너지 관점으로 맥압증폭을 접근하였고, 대동맥압 추정없이 추정할 수 있는 새로운 지수를 제안한다.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10b
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• pp.291-295
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• 2007

본 논문에서는 유헬스를 위한 적응형 미들웨어를 제안한다. 제안하는 적응형 미들웨어의 특징은 USN(Ubiqitous Sensor Network)과 RFID를 동시에 지원하는 미들웨어로 다음과 같은 특징을 가진다. 첫째, 사용자 인식수단으로 RFID 태그와 Zigbee sensor를 동시에 지원한다. 둘째, RFID Reader와 Zibee 센서가 수집한 데이터를 filtering하여 주기적으로 응용 프로그램에 전달한다. 셋째, 이동하는 사용자에 대하여 realtime health monitoring을 지원한다.

• Journal of Digital Convergence
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• v.10 no.2
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• pp.141-146
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• 2012

U-healthcare, which grafted advanced IT technology onto medical technology, is in the limelight because it can provide medical services at anytime and anywhere. U-healthcare system applied RFID technology for Implantable Medical Device (IMD), but patient's biometric information can be easily exposed to third parties. In this article, RFID-based U-healthcare authentication protocol is proposed to prevent illegal usage for personal biometric information exposed to the third patty. The proposed protocol guarantees patients' biometric information integrity as compounding random numbers between administrators and hospital/clinic managers, and uses continuous number SEQ and time stamp T to synchronize IMD/administrators and administrators/hospital managers. Also, to protect user's privacy from the third party, patients' biometric information can be safely guarded by managing patients' security identifiers by administrators.