Design, Fabrication, and Testing of an Internet Connected Intravenous Drip Monitoring Device

Author:

Sardana Pranshul,Kalra Mohit,Sardana Amit

Abstract

This paper proposes a monitoring system retro-fittable for existing Intravenous (IV) infusion setup. Traditionally, doctors and nurses use their experience to estimate the time required by an IV bottle to empty which makes the IV therapy vulnerable to human error. The current study proposes an internet connected monitoring platform for IV drip chambers. The device enables doctors and nursing staff to monitor the drip parameters wirelessly while emphasizing on low costs and high degree of reliability. It has two main units, namely chamber unit and pole unit. Chamber unit houses two types of sensors, optical based for drop detection and capacitive based for level detection, both of which are placed on the chamber unit. The pole unit majorly consists of a microcontroller and a GSM-based (Global System Mobile Communication) communication module. In addition, the device was tested along with various parameters like accuracy, readout stability, change in fluid used, changes in ambient conditions, end chamber conditions, optical unit malfunctions. Finally, the monitored data was securely and reliably transmitted to commercial cloud service using HTTP API calls (Hyper Text Transfer Protocol) (Application Programming Interface). This data was stored and visualized for ease of readability for nurses and doctors.

Publisher

MDPI AG

Subject

Control and Optimization,Computer Networks and Communications,Instrumentation

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Passive UHF RFID-Based Real-Time Intravenous Fluid Level Sensor;IEEE Sensors Journal;2024-02-01

2. Multimode optical fiber interrogator-based LiDAR for intravenous drip monitoring;Optical Fiber Technology;2023-12

3. Deep learning-based monitoring technique for real-time intravenous medication bag status;Biomedical Engineering Letters;2023-06-07

4. IoT Based IV Pole Monitoring System;2023 IEEE 8th International Conference for Convergence in Technology (I2CT);2023-04-07

5. Internet-of-Things-based Multi-sensor Structure for Geriatric Healthcare;Sensors and Materials;2023-03-31

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