Design and implementation of a wireless patient health monitoring system

O. Manzombi, E. M. Dogo, N. I. Nwulu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

This paper presents the design and implementation of an IoT wireless patient's health monitoring system. The system can be used to continuously monitor the body temperature and pulse rate of a patient located in a hospital room using biomedical sensors. The temperature and pulse rate values are taken from the sensors and processed by an Arduino Uno. Furthermore, they are sent wirelessly via RF communication using a 433 MHz transmitter and receiver kit. The readings are encoded and sent to the receiver where they are decoded and displayed on an LCD screen. Finally, the temperature and pulse rate values are also displayed and stored online using an Arduino Ethernet Shield 2 for future analysis.

Original languageEnglish
Title of host publication2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728129327
DOIs
Publication statusPublished - Sept 2019
Event2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019 - Malatya, Turkey
Duration: 21 Sept 201922 Sept 2019

Publication series

Name2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019

Conference

Conference2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019
Country/TerritoryTurkey
CityMalatya
Period21/09/1922/09/19

Keywords

  • 433 RF receiver module
  • 433 RF transmitter module
  • Arduino Uno
  • Ethernet Shield
  • Pulse sensor
  • Temperature sensor

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Computer Vision and Pattern Recognition
  • Control and Optimization
  • Signal Processing

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