Internet of Things (IoT) Based Neonatal Incubator for Heart Rate Monitoring and Caregiver Motion Detection

Authors

  • Mastura Abdullah Universiti Tun Hussein Onn Malaysia
  • Audrey Huong Kah Ching Universiti Tun Hussein Onn Malaysia

Keywords:

Infant Incubator, Health Monitoring System, Motion Detection, IoT

Abstract

The IoT-based health monitoring system has transformed healthcare by enabling seamless real-time tracking of vital health parameters. Using affordable and low-power sensors, it gathers and transmits crucial data on heart rate and oxygen to healthcare providers for analysis. The systems diverse sensors perform well under various conditions, recording BPM readings of 60-100 at rest and 40-60 during occlusion, along with SpO2 values of 95%-100% at rest and 85%-95% during occlusion. Motion detection functionally successfully identifies objects ir caregivers within its proximity. This integration in infant health monitoring signifies a significant advancement with implications for future innovations in neonatal care. The wireless connectivity via Blynk enables remote monitoring with immediate alerts for healthcare providers. Through performance evaluation guarantees measurement reliability, secure data transmission, and algorithmic provide actionable insight.

Downloads

Published

21-04-2024

Issue

Section

Biomedical Engineering

How to Cite

Abdullah, M., & Huong Kah Ching, A. (2024). Internet of Things (IoT) Based Neonatal Incubator for Heart Rate Monitoring and Caregiver Motion Detection. Evolution in Electrical and Electronic Engineering, 5(1), 10-17. https://publisher.uthm.edu.my/periodicals/index.php/eeee/article/view/15462

Most read articles by the same author(s)