• The Journal of the Korea Contents Association
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• v.15 no.9
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• pp.541-554
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• 2015

In this paper, first, we examined the factors which would affect users's intention for accepting Smart Healthcare Service. Second, we analyzed weather the types(health care provider vs. health care recipient) of the users would modulate the factors's influences. The independent variables of the research model are novelty-seeking, self-efficacy, facilitating conditions and security. The mediating variables are the perceived ease of use and the perceived usefulness. The dependent variable is the acceptance intention and the moderating variable is the user type which contains health care provider and health care recipient. As the results of the analysis, we recognized that the self-efficacy of the users would affect the perceived ease of use and the perceived usefulness in the smart healthcare services, but the user types(health care provider vs. health care recipient) did not modulate the factors's influences. We also recognized that the facilitating conditions would affect the perceived ease of use and the perceived usefulness in the smart healthcare services, in particular, the user types modulated the influences in the ease of use. We also recognized that the security would affect the perceived ease of use and the influence was more sensitive in the case of the health care provider. At last, we recognized that the ease of use and usefulness would affect the acceptance intentions. The influence of the ease was more sensitive in the case of the health care recipient. The influence of the usefulness was more sensitive in the case of the health care provider.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.4
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• pp.739-744
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• 2022

Modern people, who are fully enjoying convenience with improved technology, are pursuing health next to convenience. Accordingly, the smart healthcare industry is rapidly increasing, and various companies are launching healthcare system products with applied VR. However, existing products on the market are expensive or professional products. Therefore, there are parts that are difficult for the general public to use. In this paper, we propose smart health care contents that can experience virtual reality anytime and anywhere at an affordable price and take care of health through exercise using Arduino and general bicycles sold in the market.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.2
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• pp.237-242
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• 2016

To build effective u-healthcare system based-on smart-cloth, design of hardware and software modules for suitable smart-cloth is needed. And a gateway smart-phone program for sensing signal's collecting and processing is needed to send sensing bio-signal from smart-cloth to sever. To do this, it is an important to design and describe modules well for having no difficult problems when implementing later. Also, if medical team do not monitor bio-signals sending from smart-phone frequently and these signals' change values which diagnose automatically due to building expert system based on rules/facts is informed for users, it will be an useful u-healthcare system. Therefore in this paper, by presenting design method of u-healthcare system hardware and software modules based on smart-cloth which prepared these functions, this design method is showed for applying a common use u-healthcare system's production usefully.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.6
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• pp.1153-1157
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• 2012

Depending on the development of technology, android-based smartphones has brought about various changes in our lives. In this paper, based on smartphones, it was implemented that the biometric information of human pulse wave and oxygen saturation by measuring device can be monitor the status of the patient on bluetooth-based u-health care system. Through the implementation of this paper, it has confirmed that it's can be monitoring smartphone adding a bluetooth module on the medical equipment of PC based monitor system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.922-923
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• 2013

최근 고령화가 증가하면서 헬스케어기술도 함께 발달해 가고 있다. 또한 스마트폰이 발전해 가면서 헬스케어기술과 함께 융합한 기술이 많이 연구되어 가고 있다. 기존의 대형화 되었던 기술들이 스마트폰을 통해 제작되면서 생체센서만 부착되면 U-헬스케어 기술이 구현될 수 있는 세상이 실현된 것이다. 본 논문에서는 스마트폰에서 공용으로 부착되어 있는 오디오(AUX) 단자를 사용해 생체신호를 입력받았다. 일반적으로 스마트폰의 오디오단자는 음성의 입출력을 할 수 있도록 설계되었으나 오디오의 마이크 단자를 활용할 경우 생체신호를 입력 받을 수 있다. 본 연구에서는 PPG회로를 구현하고 오디오 단자를 통해 입력받은 생체신호를 애플리케이션을 통해 모니터링 하는 프로그램을 제작하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.757-759
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• 2011

본 논문에서는 홈 헬스케어에서 건강측정을 위하여 가장 많이 사용되는 개인 건강 기기(personal health device)인 혈당계, 혈압계, 심박측정계(heart rate monitor), 산소포화도 측정계(pulse-oximeter), 심전도 측정계(ECG monitor)의 5가지 홈 헬스케어 의료기기를 구성하고 표준 핵심 기술 요소인 ISO/IEEE 11073, HL7을 준용하는 게이트웨이 플랫폼을 스마트폰에 적용하여 기존의 홈 헬스케어 시스템을 구성하는 단말기 형태의 게이트웨이나 홈 서버 하드웨어 구성을 필요로 하지 않으면서 집안의 고정된 게이트웨이로 인해서 생기는 위치종속성 문제를 해결할 수 있는 PMG(personal mobile gateway) 기반의 홈&모바일 헬스케어 시스템을 개발하고자 한다.

• Journal of the Korea Society of Computer and Information
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• v.17 no.12
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• pp.1-10
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• 2012

In this paper, we propose an patient monitoring system which is suitable for mobile healthcare system. The mobile healthcare system is using portable device such as smartphone and it consists of small computing device. The mobile healthcare system is carry out same performance with desktop computer. We designed medical message structure based on TinyOS to transmit patient's biometric data on the smartphone of medical team, patient and family over the mobile carrier environment, and ported successfully in HBE-Ubi-ZigbeX using NesC. And We confirmed reliable transmission of biometric data on the smartphone by implementing the Android OS based patient information monitoring application to check the status of patient for medical team, patient and family.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.8
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• pp.1940-1946
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• 2013

The Object of smart healthcare service is focused on preventive healthcare and wellness; It also aims for the user oriented active service. Recently, Smart healthcare using smart-phone can support various services like basal physical fitness, caloric intake, checking heartbeat and so on. However, it has not yet commercially viable service model because of incomplete personal health devices standardization. We designed and implemented Android smart healthcare Manager to support ISO/IEEE 11073 by Bluetooth HDP using oximetry System.

• The Journal of the Korea Contents Association
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• v.11 no.10
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• pp.396-404
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• 2011

With increasing of smartphone users various smartphone studies have been carried out. The purpose of this paper is to examine the factors influencing the usage intention of smartphone healthcare application. The influencing factors found from literature reviews on Technology Acceptance Model and the diffusion of innovations theory are user interface design, self-efficacy, innovativeness, and entertainment. Survey is conducted to 220 people in Seoul metropolitan area. The survey results are analyzed regarding the difference for the intention of healthcare application in accordance with respondents' demographic and application usage characteristics. We also examine the difference among four influencing factors by users and non-users. As a result there are significant differences in self-efficacy and innovativeness. This gives some implications to application developers: the system should be easy to use and provide new and useful health contents that can attract early-adopters' attention in order to increase the number of application users.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.143-153
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• 2017

This was a descriptive survey to determine the intention of users to use smartphone healthcare applications (SHAs) and to clarify factors that may influence such intention. The data were collected during the month of April in 2015, using a structured self-report questionnaire that was distributed to 300 participants aged 20 to 70 years; 285 complete copies were used for the final analysis. The data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson correlation coefficients, and hierarchical multiple regression. First, according to the results, the average intention to use SHAs was 3.28 out of 5, which varied according to age, final education, economy level, vacation, current disease, total period of smartphone use, and etc. Second, significant correlations were shown by exercise behavior, dietary management behavior, stress management, satisfaction with smartphone use, and satisfaction with using SHAs. Third, the explanatory power of the predictive model involving all general, health-related, smartphone use-related, and SHA use-related factors was 45.5%; and the economic level, interest, status, and awareness satisfaction of patients using SHA were identified to be the main influential factors. The results indicate that SHA developers need to put efforts into improving consumers' app recognition and to develop plans in provoking consumers' interests to increase the use of SHAs.