Hybrid optical prototype for sepsis bedside diagnostics

M. Lacis, Sigita Kazūne, Z. Marcinkevics, U. Rubins, A. Grabovskis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Severe sepsis accounts for a third of patient deaths in the intensive care units worldwide therefore early sepsis detection and therapy onset is crucial for reduction of patient mortality and expenditures. In the present study the device prototype for sepsis bedside diagnostics is proposed, by combining hyperspectral and thermal imaging. The diagnostic principle is based on evaluation of skin oxygenation and micro perfusion inhomogeneity. Preliminary results confirm early heterogeneity detection of skin oxygenation (hemoglobin saturation with oxygen) and temperature caused by oxygen utilization and blood perfusion impairments. The present findings indicate on high sensitivity of developed prototype compared to routine subjective visual assessment of patient's skin by clinicians.
Original languageEnglish
Title of host publicationNovel Optical Systems, Methods, and Applications 2019
EditorsCornelius F. Hahlweg, Joseph R. Mulley
Place of PublicationBellingham
PublisherSPIE
Volume11105
ISBN (Print)978-151062903-5
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event22nd Annual Conference for Novel Optical Systems, Methods, and Applications - San Diego, United States
Duration: 13 Aug 201914 Aug 2019
Conference number: 22

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
ISSN (Print)0277-786X

Conference

Conference22nd Annual Conference for Novel Optical Systems, Methods, and Applications
Country/TerritoryUnited States
CitySan Diego
Period13/08/1914/08/19

Keywords*

  • hyperspectral imaging
  • tissue perfusion
  • sepsis
  • skin oxygenation
  • thermal imaging

Field of Science*

  • 3.2 Clinical medicine
  • 2.6 Medical engineering

Publication Type*

  • 3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database

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