Development of an automatic urine monitoring device using cross-selectivity sensing principle

Benjamin Ioller, Norihisa Miki

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

1 Citation (Scopus)

Abstract

Despite today's race for IoT application dedicated to home care, and healthcare service, remote analysis of urine, one of the best bio-marker, remains quite challenging and can be improved. This paper demonstrates an automatic urine monitoring device using the capillarity effect inside a channel and cross-selectivity principle to create a modular and daily analysis solution. The developed device was tested on simulated urine and successfully determined its basic composition (ionic concentration and color). We finally proposed a realistic use-case for heatwave prevention in Japan by connecting our device with a ESP32 module to bring the daily result to a healthcare application.

Original languageEnglish
Title of host publication2018 International Conference on Electronics Packaging and iMAPS All Asia Conference, ICEP-IAAC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages324-327
Number of pages4
ISBN (Electronic)9784990218850
DOIs
Publication statusPublished - 2018 Jun 6
Event2018 International Conference on Electronics Packaging and iMAPS All Asia Conference, ICEP-IAAC 2018 - Kuwana, Mie, Japan
Duration: 2018 Apr 172018 Apr 21

Other

Other2018 International Conference on Electronics Packaging and iMAPS All Asia Conference, ICEP-IAAC 2018
CountryJapan
CityKuwana, Mie
Period18/4/1718/4/21

Keywords

  • Capillarity
  • Cross-sensing
  • ESP32
  • IoT
  • Urine Monitoring

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Polymers and Plastics

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  • Cite this

    Ioller, B., & Miki, N. (2018). Development of an automatic urine monitoring device using cross-selectivity sensing principle. In 2018 International Conference on Electronics Packaging and iMAPS All Asia Conference, ICEP-IAAC 2018 (pp. 324-327). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ICEP.2018.8374315