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 language | English |
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Title of host publication | 2018 International Conference on Electronics Packaging and iMAPS All Asia Conference, ICEP-IAAC 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 324-327 |
Number of pages | 4 |
ISBN (Electronic) | 9784990218850 |
DOIs | |
Publication status | Published - 2018 Jun 6 |
Event | 2018 International Conference on Electronics Packaging and iMAPS All Asia Conference, ICEP-IAAC 2018 - Kuwana, Mie, Japan Duration: 2018 Apr 17 → 2018 Apr 21 |
Other
Other | 2018 International Conference on Electronics Packaging and iMAPS All Asia Conference, ICEP-IAAC 2018 |
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Country/Territory | Japan |
City | Kuwana, Mie |
Period | 18/4/17 → 18/4/21 |
Keywords
- Capillarity
- Cross-sensing
- ESP32
- IoT
- Urine Monitoring
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Polymers and Plastics