Healthcare monitoring system and transforming monitored data into real time clinical feedback based on IoT using raspberry Pi

Imran Khan, Kamran Zeb, Asif Mahmood, Waqar Uddin, Muhammad Adil Khan, Saif-Ul-Islam, Hee Je Kim

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

26 Scopus citations

Abstract

In recent decade significantly rise in chronic diseases and ageing population ratio in world, demand efficient Health monitoring system (HMS) for comfort of people. This approach is not only cost effective but also a feasible alternative to traditional healthcare. The aged peoples and patients having chronic diseases refrain visit to health institutions (hospitals and nursing homes etc.) as a result it reduces burden on health institutions. In this paper we proposed IoT-based, intelligent HMS which continuously monitors patient's health parameters like blood pressure, heart beat and ECG. Data from blood pressure sensor, heart rate sensor and ECG sensor automatically monitored by Arduino UNO and Pi-camera attached to raspberry pi for video. Arduino UNO sends sensor data to raspberry pi which fed data to server's database using Wi-Fi, finally server sent data to webpage, which updates every 2 minutes. Doctor access data anywhere using internet and give feedback accordingly using text.

Original languageEnglish
Title of host publication2019 2nd International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538695098
DOIs
StatePublished - 22 Mar 2019
Externally publishedYes
Event2nd International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2019 - Sukkur, Pakistan
Duration: 30 Jan 201931 Jan 2019

Publication series

Name2019 2nd International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2019

Conference

Conference2nd International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2019
Country/TerritoryPakistan
CitySukkur
Period30/01/1931/01/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Arduino UNO
  • Healthcare
  • Internet of things
  • Raspberry pi
  • Realtime patient monitoring system
  • Sensors network

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Information Systems
  • Signal Processing
  • Software
  • Applied Mathematics
  • Computational Mathematics
  • Control and Optimization
  • Computer Networks and Communications

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