Development of Self-Destructive Urine Detection Film Using Water-soluble Resin

Yoshiyuki Isozaki*, Akihiro Umezawa, Hiroyasu Iwata

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

The increasingly aging population in Japan, has given rise to a shortage of caregiver availability. By the year 2025, it is projected that there will be a need for 380,000 caregivers. One of Caregivers' compulsory tasks consists in checking diapers every 2 hours both during the day and at night. It becomes even more burdensome when they must also do this around or after midnight, depriving them of quality sleep. The use of excretion detector devices may provide a solution to this problem. However, there are sanitary limitations to the recovery and reuse of such devices. Additionally, there is obvious discomfort that comes with attaching a large device to a diaper. To address this challenge, the disposability, and ultra-thinness of the device presented in this study are paramount. We developed and evaluated disposable film-based urine detector devices for caregivers use.

Original languageEnglish
Title of host publication44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages861-864
Number of pages4
ISBN (Electronic)9781728127828
DOIs
Publication statusPublished - 2022
Event44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 - Glasgow, United Kingdom
Duration: 2022 Jul 112022 Jul 15

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2022-July
ISSN (Print)1557-170X

Conference

Conference44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
Country/TerritoryUnited Kingdom
CityGlasgow
Period22/7/1122/7/15

ASJC Scopus subject areas

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

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