Recently, attention has been focused on services that combine medical technology with ICT technologies such as artificial intelligence, big data, Internet of Things, and block chains. In addition, Research on healthcare services that can collect bio signal data through wearable sensors using IoT technology and monitor and manage health based on the collected data is increasing significantly. In particular, in a situation where the world is entering a rapidly aging society, health care services are being researched and developed in the direction of preventing diseases in advance and maintaining a healthy life. Healthcare services are bringing important changes in the pandemic era caused by covid-19. There is a need for a system capable of efficiently sharing and exchanging information of heterogeneous services to prevent emergencies and support optimal medical services. In this paper, we designed and developed a system that can collect, convert, and store bio-signals from various wearable sensors into international standard data to develop such healthcare services. HL7 (health level seven) FHIR (fast healthcare interoperability resources) applied mutandis in this paper is a standard protocol for data exchange between medical information systems of real-Time collected bio signals. In this paper, we implement an interface module that converts bio signals such as EEG (electroencephalography), ECG (electrocardiogram), EMG (electromyography), and PPG (photoplethysmography) collected in real time from a wearable sensor into a message structure defined by HL7 FHIR. The interface module consists of a client part and a server part. The client part generates a variety of signal data from the healthcare service user and delivers the message to the server part. The server part is designed and implemented to parse the received message by segment field unit and transmit whether the message is abnormal or not to the client part. The system designed and implemented in this paper will be utilized as a technology that can mutually share and exchange medical information in a customized healthcare service that reflects the needs of various customers and a telemedicine system.
KSP 제안 키워드
Aging society, Big Data, Data exchange, Fast healthcare interoperability resources, HL7 FHIR, Health Level Seven, Healthcare Services, Heterogeneous service, Information systems(IS), International standard, Internet of thing(IoT)
저작권정책 안내문
한국전자동신연구원 지식공유플랫폼 저작권정책
한국전자통신연구원 지식공유플랫폼에서 제공하는 모든 저작물(각종 연구과제, 성과물 등)은 저작권법에 의하여 보호받는 저작물로 무단복제 및 배포를 원칙적으로 금하고 있습니다. 저작물을 이용 또는 변경하고자 할 때는 다음 사항을 참고하시기 바랍니다.
저작권법 제24조의2에 따라 한국전자통신연구원에서 저작재산권의 전부를 보유한 저작물의 경우에는 별도의 이용허락 없이 자유이용이 가능합니다. 단, 자유이용이 가능한 자료는 "공공저작물 자유이용허락 표시 기준(공공누리, KOGL) 제4유형"을 부착하여 개방하고 있으므로 공공누리 표시가 부착된 저작물인지를 확인한 이후에 자유이용하시기 바랍니다. 자유이용의 경우에는 반드시 저작물의 출처를 구체적으로 표시하여야 하고 비영리 목적으로만 이용이 가능하며 저작물을 변형하거나 2차 저작물로 사용할 수 없습니다.
<출처표시방법 안내> 작성자, 저작물명, 출처, 권호, 출판년도, 이용조건 [예시1] 김진미 외, "매니코어 기반 고성능 컴퓨팅을 지원하는 경량커널 동향", 전자통신동향분석, 32권 4호, 2017, 공공누리 제4유형 [예시2] 심진보 외, "제4차 산업 혁명과 ICT - 제4차 산업 혁명 선도를 위한 IDX 추진 전략", ETRI Insight, 2017, 공공누리 제 4유형
공공누리가 부착되지 않은 자료들을 사용하고자 할 경우에는 담당자와 사전협의한 이후에 이용하여 주시기 바랍니다.