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Influence of hemoglobin on non-invasive optical bilirubin sensing

  • Jingying Jiang*
  • , Qiliang Gong
  • , Da Zou
  • , Kexin Xu
  • *Corresponding author for this work
  • Tianjin University

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

Abstract

Since the abnormal metabolism of bilirubin could lead to diseases in the human body, especially the jaundice which is harmful to neonates. Traditional invasive measurements are difficult to be accepted by people because of pain and infection. Therefore, the real-time and non-invasive measurement of bilirubin is of great significance. However, the accuracy of currently transcutaneous bilirubinometry(TcB) is generally not high enough, and affected by many factors in the human skin, mostly by hemoglobin. In this talk, absorption spectra of hemoglobin and bilirubin have been collected and analyzed, then the Partial Least Squares (PLS) models have been built. By analyzing and comparing the Correlation and Root Mean Square Error of Prediction(RMSEP), the results show that the Correlation of bilirubin solution model is larger than that of the mixture solution added with hemoglobin, and its RMSEP value is smaller than that of mixture solution. Therefore, hemoglobin has influences on the non-invasive optical bilirubin sensing. In next step, it is necessary to investigate how to eliminate the influence.

Original languageEnglish
Title of host publicationDynamics and Fluctuations in Biomedical Photonics IX
DOIs
StatePublished - 2012
Externally publishedYes
EventDynamics and Fluctuations in Biomedical Photonics IX - San Francisco, CA, United States
Duration: 21 Jan 201223 Jan 2012

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8222
ISSN (Print)1605-7422

Conference

ConferenceDynamics and Fluctuations in Biomedical Photonics IX
Country/TerritoryUnited States
CitySan Francisco, CA
Period21/01/1223/01/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Bilirubin
  • Hemoglobin
  • PLS modeling
  • Spectral measurement

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