Vital signs monitoring using few-mode fiber-based sensors

Shuyang Chen, Zhenyu Huang, Fengze Tan, Tianyu Yang, Jiajing Tu, Changyuan Yu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

A vital signs monitor based on few-mode fiber (FMF) is presented in this paper. Two types of FMF, dual-mode fiber (DMF) and four-mode fiber are respectively utilized for vital signs monitoring. For DMF, core-offset distance between lead-in single mode fiber (SMF) and DMF was optimized numerically, the results of which agree very well with experiments and respiration ratio can be measured successfully with acceptable extinction ratio. For four-mode fiber, core-offset mode excitation method with optimized parameters is also utilized to excite four types of modes, LP01, LP11, LP21 and LP02, which realizes the modal interference enhancement and the extinction ratio can reach 10 dB. Breath signals can be also detected using this structure. As demonstrated in this paper, FMF-based sensor could provide a promising candidate for fiber-optic biomedical application.

Original languageEnglish
Title of host publicationOptoelectronic Devices and Integration VII
EditorsChangyuan Yu, Xuping Zhang, Baojun Li, Xinliang Zhang, Xinliang Zhang
PublisherSPIE
ISBN (Electronic)9781510622265
DOIs
Publication statusPublished - 11 Oct 2018
EventOptoelectronic Devices and Integration VII 2018 - Beijing, China
Duration: 11 Oct 201813 Oct 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10814
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceOptoelectronic Devices and Integration VII 2018
CountryChina
CityBeijing
Period11/10/1813/10/18

Keywords

  • Few-mode fiber
  • Optical fiber interferometer
  • Vital sign monitoring

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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