Data compression for ICU telemedicine to reduce transmission costs and allow qualitative reasoning

Apkar Salatian, Francis Adepoju, Lawrence Oborkhale

Research output: Contribution to Book/ReportChapterpeer-review

Abstract

Intensive Care Unit (ICU) telemedicine can be considered as the transmission of large volumes of continuous and noisy physiological data generated by the ICU monitors attached to patients from one site to another using computer and telecommunication technology for purpose of remote assistance. A common form of telecommunication is broadband which presents 2 major challenges in rural areas: bandwidth demand can easily outstrip the revenue realizable that is needed to pay for the network infrastructure investment so lower (cheaper and slower) bandwidth is normal; a consequence of restricted bandwidth on access pipes is service contention at the customer site, even if core bandwidth exists to deliver the services. In this paper we propose data wavelets as a data compression technique to transform the ICU monitor data into trends to address the challenges of broadband in rural areas for data transmission and allow qualitative reasoning at the receiving site for clinical decision support.
Original languageEnglish
Title of host publicationICSTE 2010 - 2010 2nd International Conference on Software Technology and Engineering, Proceedings
DOIs
Publication statusPublished - 2010

Publication series

NameICSTE 2010 - 2010 2nd International Conference on Software Technology and Engineering, Proceedings
Volume1

Keywords

  • Data compression
  • Intensive Care Unit
  • Qualitative reasoning
  • Telemedicine
  • Wavelets

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