• Proceedings of the Korean Information Science Society Conference
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• 2006.10a
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• pp.464-468
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• 2006

본 논문에서는 모바일 장치 간 협업 환경에 의한 헬스케어 응용에 대해 기술한다. 헬스케어 응용은 병원의 간호사 기록업무를 줄이고, 쾌적한 병실을 위한 가전제어를 위한 응용이다. 이를 위해 모바일 협업 프레임워크에 대해 살펴보고, 이를 기반으로 모바일 협업 환경을 구성하는 센서, 디바이스, 서버간의 상호작용에 대해 기술하였다. 특히, 모바일 장치에 대해 고정형과 이동형 디바이스로 구분하고, 이들간의 상호작용을 위한 정보 교환 방법을 정의하였다. 이를 기반으로 병원의 병실에 대한 물리적인 환경을 기반으로 헬스케어 응용 시나리오를 작성하였다. 또한, 각 병실에 대한 환경 정보와 환자의 건강 정보 수집을 위한 센서 그리고 고정형 디바이스와 이동형 디바이스의 상호작용 그리고 홈 서버와 상호작용에 대한 헬스케어 응용을 구현하여 수행성을 각 GUI를 통해 검증하였다.

• Review of Korea Contents Association
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• v.16 no.4
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• pp.14-19
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• 2018

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.622-624
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• 2013

모바일 헬스케어는 다양한 스마트 디바이스를 활용한 개인건강관리 기술을 말한다. 특히 스마트폰 보급과 근거리 무선 통신 기술의 발전으로 모바일 헬스케어와 관련한 여러 디바이스와 서비스들이 개발되고 있다. 그러나 이러한 디바이스와 서비스들이 대부분 자체적인 규격에 의해 굿현 되고 있으며 이로인해 기기 간 호환이 안 되고 서비스가 종속되는 등의 문제가 있다. 특히 규제가 엄격한 의료 서비스와 거리를 둔 일상적 생활에서의 건강관리 기기나 서비스들은 그 문제가 더욱 심각하다. 본 논문에서는 이러한 모바일 헬스케어 환경에서의 문제점 해결을 위한 표준 요소와 그 현황에 대해 살펴보고 관련 표준의 모바일 헬스케어 적용 모델을 제안 한다.

• The Journal of the Korea Contents Association
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• v.12 no.9
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• pp.369-379
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• 2012

This study aims to examine the preferred device types, the difference of device properties by service types, and acceptance intention for applications and willingness to pay for healthcare services. To attain this goal, this research conducted a survey targeted to the subjects of those concerned in hospitals and medical institutions, the aged and patients with chronic disease, and consumers having interest in health maintenance. According to the result of the analysis, acceptance intention for mobile devices for healthcare services was high in general. And patients with chronic disease and those concerned in hospitals showed high acceptance intention. Smart phones were preferred the most in the support of healthcare services. And there was the difference of device properties by service types, and in health maintenance, easiness and playfulness were somewhat high. Acceptance intention for mobile applications was rather high in personal use, and regarding the properties, personal information protection was valued highly.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.2
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• pp.503-514
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• 2013

Mobile Healthcare is a new type of health care services for managing health and life irrespective of time and space by uniting IT and BT. For this service bio-signal measurement using WBAN, and data analysis and monitoring technologies based on mobile devices are essential. Generally, however, mobile application has low compatibility because of the features of mobile platform, we have to redevelop it to support the corresponding platform. In this paper we introduce a Mobile Healthcare System which can function as gateway and monitoring based on hybrid app to create ubiquitous healthcare monitoring system compatible with various mobile devices by overcoming the difference of platforms. The proposed system consists of sensor composition part, monitoring composition part, and server composition part.

• The Optical Journal
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• s.156
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• pp.41-51
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• 2015

생명공학기술(BT)과 정보통신기술(IT)의 융합으로 모바일 의료기기가 최근 빠른 속도로 발전 하고 있다. 작년부터 시작된 헬스케어 웨어러블 디바이스의 열풍은 IT기업의 헬스케어 시장 진입을 촉진하고 있으며, 스마트폰의 보급으로 인해 의료기기의 활용도와 편리성이 비약적으로 향상되고 있다. 각각의 영역에서 발전하던 의료기기와 스마트기기는 이제 모바일 의료기기라는 하나의 시장에서 만난다. 의료진을 중심으로 개발되던 의료기기는 소비자의 관점에서 재조명되어 보다 유용한 기기로 탈바꿈하고 있다. 단순한 건강관리에서부터 중증질환의 치료에 이르기까지 모바일 의료기기가 제공하는 스마트 헬스케어 솔루션이 중요한 역할을 할 것으로 기대된다. 본 보고서는 최근의 바이오 기술과 헬스케어 스마트기기의 발달을 살펴보고, 모바일 의료기기가 가져올 스마트 헬스케어의 가능성과 극복해야 할 장애물에 대해 분석하였다. 특히 ICT 융합산업이 직면하게 되는 이종 산업의 속성 차이를 이해하는데 주안점을 두었다.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.1
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• pp.45-50
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• 2019

When PPG signal is used in mobile healthcare devices, the accuracy of the measured heartbeat decreases from the influence by the movement of the user. The reason is that the frequency band of the noise overlaps the frequency band of the PPG signal. In order to remove these same noises, the methods using frequency analysis method or application of acceleration sensor have been investigated and showed excellent performance. However, in applying these methods to low-cost healthcare devices, it is difficult to apply these methods because of much processing time and sensor's cost. In order to solve these problems, this study proposed the filter design method using an adaptive notch filter and the fuzzy inference system to extract more accurate heart rate in real time and evaluated its performance. As results, it showed better results than the other methods. Based on the results, when applying the proposed method to design the mobile healthcare device, it is possible to measure the heartbeat more accurately in real time.

• The KIPS Transactions:PartD
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• v.13D no.6 s.109
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• pp.847-856
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• 2006

In this paper, we suggested a mobile collaboration framework for supporting mobile services among mobile devices, and designed and implemented on this environment. The suggested framework has three elements; groups of sensors and mobile devices(Fixed and Moving-typed PDAs) and a home server. We designed interfaces for interactions with each other in collaboration environment with three elements described above. The information collected by sensors can be share and exchanged by mobile devices or a home server in accordance with Push and Pull methods. This framework is based on the distributed object group framework(DOGF) we implemented before. Therefore the DOGF provides functions of object group management, storing information and security services to our mobile collaboration framework via application interfaces defined. The information collected by sensors is arranged according to user's security 'demands. And user profile information is used for checking authority of each service object. Each component for executing functions of mobile devices and a home server is implemented by TMO scheme. And we used the TMOSM for interactions between distributed components. Finally, we showed via GUI the executablity of a given healthcare application scenario on our mobile collaboration framework.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.187-193
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• 2017

Objects Internet-based healthcare services provide healthcare and healthcare services, including measurement of user's vital signs, diagnosis and prevention of diseases, through a variety of object internet devices. However, there is a problem that new security vulnerability can occur when inter-working with the security weakness of each element technology because the internet service based on the object Internet provides a service by integrating various element technologies. In this paper, we propose a user privacy protection model that can securely process user's healthcare information from a third party when delivering healthcare information of users using wearable equipment based on IoT in a mobile environment to a server. The proposed model provides attribute values for each healthcare sensor information so that the user can safely handle, store, and store the healthcare information, thereby managing the privacy of the user in a hierarchical manner. As a result of the performance evaluation, the throughput of IoT device is improved by 10.5% on average and the server overhead is 9.9% lower than that of the existing model.

• 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.