Source multiplexing enhances the number of channels of a multispectral sensor

Maria Katsafadou, Mario E. Giardini

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

1 Citation (Scopus)
11 Downloads (Pure)

Abstract

This paper presents preliminary work on a method to increase the number of detection channels of a commercial 6-channel spectrometric sensor, by employing a set of multiplexed spectrally colored illumination sources. A demonstrator has been built and tested on a set of independent dyes. The results suggest successful enhancement of the number of detection channels. More tests are needed to provide quantitative performance evaluation, and to demonstrate viability in a clinical setting. Clinical Relevance- The technique presented in this paper shows promise to provide a viable method for multispectral sensing in highly-miniaturized systems such as in-vivo sensing capsules.

Original languageEnglish
Title of host publication2022 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, (EMBC)
PublisherIEEE
Pages2455-2458
Number of pages4
ISBN (Electronic)9781728127828
ISBN (Print)9781728127835
DOIs
Publication statusPublished - 8 Sept 2022
Event44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022: “Biomedical Engineering transforming the provision of healthcare: promoting wellness through personalized & predictable provision at the point of care” - Glasgow, United Kingdom
Duration: 11 Jul 202215 Jul 2022
Conference number: 44
https://embc.embs.org/2022/

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
PublisherIEEE
ISSN (Print)2375-7477
ISSN (Electronic)2694-0604

Conference

Conference44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
Abbreviated titleEMBC 2022
Country/TerritoryUnited Kingdom
CityGlasgow
Period11/07/2215/07/22
Internet address

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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