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m-Health System for Processing of Clinical Biosignals based Android Platform

안드로이드 플랫폼 기반의 임상 바이오신호 처리를 위한 모바일 헬스 시스템

  • Seo, Jung-Hee (Dept. of Computer Engineering, Tongmyong University) ;
  • Park, Hung-Bog (Dept. of Computer Engineering, Pukyong National University)
  • Received : 2012.03.20
  • Accepted : 2012.05.11
  • Published : 2012.07.31

Abstract

Management of biosignal data in mobile devices causes many problems in real-time transmission of large volume of multimedia data or storage devices. Therefore, this research paper intends to suggest an m-Health system, a clinical data processing system using mobile in order to provide quick medical service. This system deployed health system on IP network, compounded outputs from many bio sensing in remote sites and performed integrated data processing electronically on various bio sensors. The m-health system measures and monitors various biosignals and sends them to data servers of remote hospitals. It is an Android-based mobile application which patients and their family and medical staff can use anywhere anytime. Medical staff access patient data from hospital data servers and provide feedback on medical diagnosis and prescription to patients or users. Video stream for patient monitoring uses a scalable transcoding technique to decides data size appropriate for network traffic and sends video stream, remarkably reducing loads of mobile systems and networks.

모바일 장치에서의바이오신호데이터의 관리는 용량이많은 실시간멀티미디어 데이터의전송이나 저장 장치에서 많은 문제점을야기시킨다. 따라서 본 논문은신속한 의료 서비스를 제공하기 위해서 모바일을 이용한 임상 데이터 처리 시스템인 m-Health 시스템을 제안한다. 이 시스템은 지역의 IP 네트워크 상의 헬스 시스템을 구축하여 원격의 여러 바이오 센싱으로 부터 출력을 조합하고, 다양한 바이오 센서에서의 전자적인 데이터 통합 처리를 수행하였다. m-Health 시스템은 다양한 바이오신호들을 측정 및 모니터링하고 원거리에 위치한 병원의 데이터 서버로 전송한다. 환자 및 가족, 의료진 모두가 언제 어디서나 사용할 수 있는 안드로이드 기반의 모바일 애플리케이션으로 의료 관련자는 병원의 데이터 서버에서 환자 데이터를 접근하여 환자 또는 사용자에게 의료 진단 및 처방을 피드백 한다. 그리고 환자 관찰을 위한 비디오 스트림은 스케일러블 트랜스코딩 기법을 이용하여 네트워크 트래픽에 알맞은 데이터 크기를 결정하고 비디오 스트림을 전송함으로서 모바일 시스템과 네트워크의 부하를 줄일 수 있다.

Keywords

References

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