Home > Research > Publications & Outputs > A body sensor network simulation platform for m...

Associated organisational unit

Electronic data

  • camera-ready-paper

    Rights statement: ©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

    Accepted author manuscript, 487 KB, PDF document

Links

Text available via DOI:

View graph of relations

A body sensor network simulation platform for medical applications

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published
Close
<mark>Journal publication date</mark>2/06/2016
<mark>Journal</mark>IEEE Latin America Translations
Issue number4
Volume14
Number of pages7
Pages (from-to)1835-1841
Publication StatusPublished
<mark>Original language</mark>English

Abstract

Body Sensor Networks (BSN) is an important technology in providing ubiquitous healthcare services. These sensors are capable of supplying medical professionals with data collected from a patient outside the hospital environment. Remotely acquired information has enormous application potential and can assist medical professionals to provide fast and accurate assistance to injured people at accidents sites, minimizing the risk of further complications by reducing delays in the diagnosis process. Despite the great benefits of such applications, there is a gap in the state-of-art techniques that allow the creation and testing of such high-level and critical applications. This paper presents a body sensor network simulation environment as a response to that need, providing a tool that plays a key role in assisting the development of critical healthcare applications through an emulated healthcare-specific hardware, which can be used to test applications in a controlled environment, considering the demands of the medical field.

Bibliographic note

©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.