An m-Health monitoring system for children with suspected arrhythmias

E Kyriacou1, C Pattichis, M Pattichis

  • 1Dep. of Computer Science, University of Cyprus, Dep. of Comp. Science and Engineering, Frederick Insitute of Technology, Cyprus. ekyriac@cs.ucy.ac.cy

Insights

This study introduces a new m-Health system for monitoring children with suspected cardiac arrhythmias using sensor networks and wearable ECG recorders. The system conserves power with a variable sampling rate, aiding continuous patient monitoring.

Area of Science:

  • Biomedical Engineering
  • Wireless Communications
  • Medical Informatics

Background:

  • Advancements in wireless, computer, and medical technologies facilitate the creation of compact, energy-efficient, and dependable multi-parameter medical recording systems for continuous patient monitoring.
  • Existing systems may lack the flexibility for continuous, remote monitoring of specific pediatric conditions.

Purpose of the Study:

  • To present the architecture and initial development of a novel m-Health monitoring system tailored for children with suspected cardiac arrhythmias.
  • To enable continuous patient monitoring within a predefined area and extend coverage beyond the home environment.

Main Methods:

  • Development of an m-Health system integrating sensor networks for in-home monitoring.
  • Incorporation of Personal Digital Assistants (PDAs) and wearable electrocardiogram (ECG) recorders for extended monitoring range.
  • Implementation of a variable sampling rate strategy to optimize power consumption during potential arrhythmia episodes.

Main Results:

  • The system design phase is complete, with hardware specifications finalized.
  • The system is currently in the development phase, with initial steps taken towards implementation.

Conclusions:

  • The developed m-Health system architecture is suitable for continuous monitoring of pediatric cardiac arrhythmias.
  • The system's design, including sensor networks and wearable technology, addresses the need for flexible and power-efficient patient monitoring.

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