Literature DB >> 24918183

Policy-based approach to emergency bio-data management for mobile healthcare.

Seung-Man Chun1, Jong-Tae Park1.   

Abstract

In m-healthcare service, accurate detection and notification of emergency situation are critical to chronic patients' life. Since they are usually performed by a limited number of medical staff, it is difficult to simultaneously support many patients in real-time. This article presents an architecture to support the emergency bio-data management for m-healthcare service using personalized emergency policy. The salient feature of the proposed architecture is that the decision on emergency is made using personalized emergency policy. Specifically, the structure of the detailed system components has also been designed. The emergency condition of the individual bio-data collected from wireless body area network is detected automatically using personalized emergency policy. The message flow diagram based on the personalized emergency policy is described. This enables quick emergency rescue service provided to the patient both accurately and immediately. The prototype of proposed system has been built to demonstrate the design concept.

Entities:  

Keywords:  ISO/IEEE 11073 PHD; auto-detection management; mobile healthcare; personal health management

Mesh:

Year:  2014        PMID: 24918183     DOI: 10.1260/2040-2295.5.2.185

Source DB:  PubMed          Journal:  J Healthc Eng        ISSN: 2040-2295            Impact factor:   2.682


  2 in total

1.  What's Past is Prologue: A Scoping Review of Recent Public Health and Global Health Informatics Literature.

Authors:  Brian E Dixon; Jamie Pina; Hadi Kharrazi; Fardad Gharghabi; Janise Richards
Journal:  Online J Public Health Inform       Date:  2015-07-01

2.  Model-Driven Approach for Body Area Network Application Development.

Authors:  Algimantas Venčkauskas; Vytautas Štuikys; Nerijus Jusas; Renata Burbaitė
Journal:  Sensors (Basel)       Date:  2016-05-12       Impact factor: 3.576

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.