Design and Implementation of IOT-Based Intravenous (IV) Bag Monitoring and Alert System
- Authors
-
-
Gregory T. AKAU
Department of Electrical/Electronics, Nigerian Defence Academy, Kaduna, Nigeria
Author
-
Abel AIROBOMAN
Department of Electrical/Electronics, Nigerian Defence Academy, Kaduna, Nigeria
Author
-
Nathaniel DALLA
Department of Electrical/Electronics, Nigerian Defence Academy, Kaduna, Nigeria
Author
-
- Keywords:
- Intravenous (IV) monitoring, IoT-based healthcare, Arduino Uno, drip rate monitoring, ESP8266 Wi-Fi, ThingSpeak cloud, hospital automation.
- Abstract
-
Health, being a critical aspect of daily life, demands heightened attention, especially when a patient is hospitalized. In densely populated hospitals with limited nursing staff, the continuous monitoring of Intravenous (IV) fluid becomes a challenge. If the IV fluid is not properly monitored, severe consequences may arise, such as blood reflux or the entry of air bubbles into the patient's bloodstream when the fluid bottle runs dry. To address this, the project proposes the design and implementation of an IoT-based intravenous infusion monitoring and Alert System using the Huamao Communication 12 radio frequency module (HC-12) for wireless communication. The system also integrates Espressif Wi-Fi SoC ESP8266 wi-fi connectivity for real-time data transmission to the ThinkSpeak cloud platform. The hardware setup includes a load cell with an HX711 interface for continuous measurement of the IV fluid's weight, and a laser sensor positioned on the drip chamber to monitor the droplet rate. An Arduino Uno microcontroller coordinates the sensors and decision logic. When the fluid level drops below a critical threshold or the drip rate becomes abnormal, an alert is transmitted wirelessly via the RF module to a remote receiver unit (e.g., nurse’s station), where the patient's information and alert status are displayed. Additionally, the ESP8266 module uploads real-time data to the internet for remote monitoring and analytics. The performance evaluation of the prototype demonstrated a system success rate of approximately 96.8% in accurately detecting both low-fluid and abnormal drip rates. This low-cost, easily deployable system enhances patient safety by ensuring timely intervention from medical staff and is particularly suited for resource-constrained hospitals that cannot afford expensive commercial IV monitoring system.
- References
- Downloads
- Published
- 15-11-2025
- Section
- Articles
- License
-
Copyright (c) 2025 FUDMA Journal of Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Similar Articles
- Koliya LAAYE, Solomon O. OGUCHE, Ibrahim I. JIDDA, Abdullahi A. ADAMU, Economic Viability of Waste-to-Energy: Pathways for Sustainable Power Generation in Jalingo, Taraba State, Nigeria , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Lukman MOHAMMED, Victor O. WAZIRI, Ismaila IDRIS, Suleiman AHMAD, Performance Assessment of Android Antimalware Applications: An Experimental Approach , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Olarewaju T. OGINNI, An Overview of Unmanned Aerial Vehicles Technologies for Office Use and Services Delivery , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Abubakar S. MOHAMMED, Mohammed ALIYU, Mohammed U. GARBA, Ibrahim S. MOHAMMED, Ibrahim A. KUTI, Meshack S. IMOLOGIE, Umaru MUSA, Olalekan D. ADENIYI, Peter A. ADEOYE, Abubakar G. ISAH, Folarin T. OLORUNMOTITO, Development and Packaging of Eco-friendly Biosolid Briquettes Synthesised with Bagasse for Green Energy Generation and Utilisation , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Olusola K. AKINDE, Abolaji O. ILORI, Habeeb A. ARIKEWUYO, Development of a Wearable Fall Sensing Device for Enhanced Independent Living Among the Elderly , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Ismaila MAHMUD, Mahmud MUSTAPHA, Sulaiman H. SULAIMAN, Ibrahim ABDULWAHAB, Ibrahim A. SHEHU, Aminu J. ALIYU, Yusuf S. ABU, Nuraddeen A. ILIYASU, Solar Irradiance Forecast using Feed Forward Neural Network: A Case Study of Zaria Town , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Oluwasanmi S. ADANIGBO, Opeyemi O. ASAOLU, Adedayo A. SOBOWALE, Temidayo AKINDAHUNSI, Akinbayode A. ASAOLU, Intrusion Detection in Mobile Adhoc Networks: A Review of Signature-Based, Anomaly-Based, and Hybrid Approaches , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Muhammad M. HAMIDU, Development of MATLAB-Based Model for Solar Radiation Prediction and Photovoltaic Panel Tilt Optimization Angle for Maiduguri Region, Nigeria , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Ruth R. ADELAJA, Rhoda I. ADELAJA, Henry OTOBRISE, Adefope OWOJORI, Babatunde ADEBO, Investigation of Indoor Radiation Levels within Lead City University’s Academic Buildings , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Dandison M. WALI, Beabu B. DUMKHANA, Raymond A. EKEMUBE, Silas O. NKAKINI, Smart Assessment of Tractor Noise Levels During Tillage Operation , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
You may also start an advanced similarity search for this article.
