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A Reliable and Smart E-Healthcare System for Monitoring Intravenous Fluid Level, Pulse, and Respiration Rate

Author

Listed:
  • W.S. Nimi

    (Karunya Institute of Technology and Sciences, India)

  • P. Subha Hency Jose

    (Karunya Institute of Technology and Sciences, India)

  • P. Subha Hency Jose

    (Karunya Institute of Technology and Sciences, India)

  • Jegan R.

    (Karunya Institute of Technology and Sciences, India)

  • Adel El-Shahat

    (School of Engineering Technology, Purdue University, USA)

Abstract

The paper presents reliable and quality maintenance of intravenous fluid level, pulse rate and respiration rate measurement system in healthcare networks. Implementing information and communication technology becomes essential to monitor an elderly patient’s health conditions in the hospital environment. In this paper, a continuous monitoring system is being developed to monitor the level of the intravenous fluid, pulse rate and respiration rate during pandemic situations with an alarm indication. The integration of pressure sensor, Strain gauge sensor, PPG sensor, and Piezo sensor with low-cost microcontroller provides a reliable and quality maintenance of an intravenous fluid level. Also, it gives an accurate measurement of pulse rate and respiration rate. Advanced signal processing tools have been used in this paper for processing and feature extraction. The hardware implementation of the proposed wireless monitoring system is done using a microcontroller programming environment that consumes meager power and provides reliable monitoring.

Suggested Citation

  • W.S. Nimi & P. Subha Hency Jose & P. Subha Hency Jose & Jegan R. & Adel El-Shahat, 2022. "A Reliable and Smart E-Healthcare System for Monitoring Intravenous Fluid Level, Pulse, and Respiration Rate," International Journal of Reliable and Quality E-Healthcare (IJRQEH), IGI Global, vol. 11(1), pages 1-19, January.
    • Handle: RePEc:igg:jrqeh0:v:11:y:2022:i:1:p:1-19
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    1. Komal Sharma & Jitendra Virmani, 2017. "A Decision Support System for Classification of Normal and Medical Renal Disease Using Ultrasound Images: A Decision Support System for Medical Renal Diseases," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 8(2), pages 52-69, April.
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