Design, Assembly and Testing of Infusion Monitoring System Based on Internet of Things

DOI

10.2991/978-94-6463-186-9_17How to use a DOI?

Keywords

Infusion; Internet of Things; Monitoring System

Abstract

Intravenous therapy (infusion) or IV therapy is widely used in the medical field. IV therapy is the giving of fluids into the body, through a needle, into a vein to replace lost fluids or nutrients from the body. Monitoring of intravenous fluids is still done manually. Many cases of patient deaths are caused by negligence in monitoring intravenous fluids, to overcome this, an infusion fluid monitoring system is needed that facilitates nurse’s work. The monitoring system designed must be adapted to the latest technology that may ease nurses work load. Objective. The purpose of this study is to design and realization of Internet of Thing-based infusion monitoring system. Methods. The research was carried out in several stages, system design, instrument assembly, subsystems testing Settings. The parameters observed in this system are the volume of infusion fluid (percentage) and the number of infusion fluid’s drop in real time according setpoint. The system will provide a warning on the smartphone and also through a buzzer sound if something very crucial happens such as the infusion runs out. Designs. This monitoring system is equipped with sensors consisting of an infrared Light Emitting Diode (LED) and a Photodiode to observe the condition of the drops, a load cell sensor to determine the volume of infusion fluid (percentage), a servo motor to control the number of drops of infusion fluid. The sensor reading data is processed by Node MCU and then displayed on the smartphone via the Blynk application. There is a color indication in the application. If the LED is green, it means the condition is good. If the LED is yellow, it means the IV fluid is less than 20%, and if the LED is red, the IV fluid is less than 5% and the buzzer will be active. Results. IoT-based monitoring system can count infusion fluid drops with an average error of 0.73%, detecting the remaining volume of infusion fluid with an average error of 0.95% and the fastest information delivery time is 30 s. Conclusions. Internet of Things-based infusion monitoring system has been successfully made and works according to design.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Sari Narulita
AU  - Mohamad Syafaat
AU  - Wulan Fitriani Safari
PY  - 2023
DA  - 2023/06/14
TI  - Design, Assembly and Testing of Infusion Monitoring System Based on Internet of Things
BT  - Proceedings of the 1st World Conference on Health and Social Science (WCHSS 2022)
PB  - Atlantis Press
SP  - 138
EP  - 144
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-186-9_17
DO  - 10.2991/978-94-6463-186-9_17
ID  - Narulita2023
ER  -