Empirical study of a medical sensor application in an urban emergency department

Jeong Gil Ko, Tia Gao, Andreas Terzis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Citations (Scopus)

Abstract

User needs and technology availability drive the introduction of wireless sensing applications in clinical environments. While these applications have the potential to improve efficiency and quality of care, very little is known about their performance during day-to-day use at the hospital. In this work, we use data from a deployment of a 802.15.4-based wireless sensor network at the Emergency Room of the Johns Hopkins hospital to answer these questions. Specifically, over a period of ten days we deployed a system of wireless vital signs monitors that measure the heart rate and blood oxygen levels of Emergency Room patients. During this time we collected statistics about the network's RF links, the performance of its tree routing protocol, and its end-to-end reliability. We find that the hospital environment we tested has considerably higher radio noise levels across multiple frequency channels and more bursty links compared to other indoor environments. Nonetheless, the routing protocol we use finds high quality links and the end-to-end packet reception ratio is above 99.9%. Taken as a whole, these preliminary results suggest that despite the challenges that clinical environments pose, wireless medical sensing applications can perform well in these conditions.

Original languageEnglish
Title of host publicationBODYNETS 2009 - 4th International ICST Conference on Body Area Networks
EditorsWilliam Kaiser, Chenyang Lu
PublisherICST
ISBN (Electronic)9789639799417
DOIs
Publication statusPublished - 2011 Nov 29
Event4th International ICST Conference on Body Area Networks, BODYNETS 2009 - Los Angeles, United States
Duration: 2009 Apr 12009 Apr 3

Publication series

NameBODYNETS 2009 - 4th International ICST Conference on Body Area Networks

Conference

Conference4th International ICST Conference on Body Area Networks, BODYNETS 2009
CountryUnited States
CityLos Angeles
Period09/4/109/4/3

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Artificial Intelligence
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Empirical study of a medical sensor application in an urban emergency department'. Together they form a unique fingerprint.

  • Cite this

    Ko, J. G., Gao, T., & Terzis, A. (2011). Empirical study of a medical sensor application in an urban emergency department. In W. Kaiser, & C. Lu (Eds.), BODYNETS 2009 - 4th International ICST Conference on Body Area Networks (BODYNETS 2009 - 4th International ICST Conference on Body Area Networks). ICST. https://doi.org/10.4108/ICST.BODYNETS2009.5947