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Design of a Remote Real-Time Monitoring System for Multiple Physiological Parameters Based on Smartphone.

Noman Q Al-Naggar1, Husam Mohammed Al-Hammadi1, Adel Mohammed Al-Fusail1

  • 1Department of Biomedical Engineering at Faculty of Engineering, University of Science and Technology, Sana'a, Yemen.

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This study developed a reliable remote monitoring system using wearable sensors and smartphones for real-time physiological data. The system offers economic benefits for remote patient care.

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Area of Science:

  • Biomedical Engineering
  • Health Informatics
  • Wearable Technology

Background:

  • Remote patient monitoring is advancing healthcare through wearable sensors and smartphones.
  • Existing systems require improvements in performance, auto-alarm generation, data transmission security, and multi-parameter monitoring.
  • This study addresses the need for a comprehensive remote monitoring solution.

Purpose of the Study:

  • To design and evaluate a smartphone-based remote real-time monitoring system.
  • To integrate multiple physiological parameter measurements (ECG, heart rate, respiratory rate, blood oxygen, temperature).
  • To ensure high performance, auto-alarm generation, secure warning transmission, and user-friendly data display.

Main Methods:

  • Wearable sensors collected physiological data, processed by Arduino Mega 250 R3.
  • Data transmitted via Wi-Fi to a smartphone application for analysis and visualization.
  • Abnormality thresholds triggered auto-alarms and data transmission to a doctor application via 3G/Wi-Fi.

Main Results:

  • The system demonstrated reliable performance with 99.26% average accuracy.
  • Data transmission via Wi-Fi averaged 14s, significantly faster than 3G (68s).
  • Achieved low power consumption and met requirements for simultaneous, secure multi-parameter remote monitoring.

Conclusions:

  • The developed system offers economic advantages for remote patient monitoring, especially in rural or isolated areas.
  • Potential to enhance medical services through efficient and secure remote healthcare solutions.
  • Feasible for large-scale manufacturing to improve accessibility of remote patient care.