Performance Analysis of IoT-based Healthcare Monitoring System using Raspberry Pi

Chandan Kumar Choubey, Prabhat Thakur, Idris Hussain, Devendra Deshalahre, Lay Chavda, Isha

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

Abstract

Healthcare monitoring systems are now more crucial than ever since they assist in tracking crucial health data in real-time. In this paper, an IoT-based Raspberry Pi healthcare monitoring system is proposed. Several sensors built into the device take vital signs like heart rate, blood pressure, temperature, and oxygen saturation readings. The system is made to be user-friendly and reasonably priced to be available to various patients. The Raspberry Pi platform is the best option for this application because it is simple to customize and integrate with other technologies. The gathered data is shown on a web interface that only authorized individuals can access. By delivering real-time data that can assist in early health problem detection, the suggested system has the potential to enhance patient outcomes greatly. By automating the process of data gathering and processing, it can also lessen the strain on healthcare workers. Overall, this research underlines the advantages of adopting IoT systems and shows the potential of Raspberry Pi technology for healthcare monitoring.

Original languageEnglish
Title of host publication2024 IEEE 9th International Conference for Convergence in Technology, I2CT 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350394474
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event9th IEEE International Conference for Convergence in Technology, I2CT 2024 - Pune, India
Duration: 5 Apr 20247 Apr 2024

Publication series

Name2024 IEEE 9th International Conference for Convergence in Technology, I2CT 2024

Conference

Conference9th IEEE International Conference for Convergence in Technology, I2CT 2024
Country/TerritoryIndia
CityPune
Period5/04/247/04/24

Keywords

  • Critical thresholds
  • Life-threatening incidents mitigation
  • Preventative care
  • Regional assessment
  • Remote operation
  • Seamless monitoring
  • Unified platform

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems and Management
  • Health Informatics

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