Anesthesia Machine Monitoring and Controlling System with IoT Integration

Authors

  • Mr. K. Bashkaran Assistant Professor, Department of Biomedical Engineering, Kongunadu College of Engineering and Technology Thottiam, Tamilnadu, India Author
  • Ms.M. Kamatchi UG Student, Department of Biomedical Engineering, Kongunadu College of Engineering and Technology, Thottiam, Tamilnadu, India. Author
  • Ms. R. Biruntha UG Student, Department of Biomedical Engineering, Kongunadu College of Engineering and Technology, Thottiam, Tamilnadu, India. Author
  • Ms. M. Kavya UG Student, Department of Biomedical Engineering, Kongunadu College of Engineering and Technology, Thottiam, Tamilnadu, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2025.0128

Keywords:

Interoperability, Remote Access, Edge Computing, Patient Monitoring System, Automated Control, Data Transmission, Anesthesia Machine

Abstract

This project deals with an IoT-based advanced anesthesia monitoring and control system that is specifically aimed at improving patient safety and maximizing medical procedures. The system continuously monitors patients' most important physiological parameters such as heart rate, blood oxygen saturation, and body temperature, so that real-time health monitoring can be ensured. Microcontroller-based sensors in the system gather and send such vital data to a specific mobile app, from where medical professionals can remotely view and interpret patient conditions. Such real-time availability provides physicians with well-informed decision-making and enables them to initiate timely actions if required. The system allows healthcare professionals to remotely activate or manage the anesthesia device in case any abnormal variations of the parameters are observed. This system, with the integration of smart monitoring with remote control function, facilitates on-time intervention, reduces risks during anesthesia administration, and improves the overall operational efficacy in healthcare.

Downloads

Download data is not yet available.

Downloads

Published

2025-03-28

How to Cite

Anesthesia Machine Monitoring and Controlling System with IoT Integration. (2025). International Research Journal on Advanced Engineering Hub (IRJAEH), 3(03), 895-901. https://doi.org/10.47392/IRJAEH.2025.0128

Similar Articles

1-10 of 522

You may also start an advanced similarity search for this article.