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Microcomputer-based coronary care unit central station.

F De Lucia1, G Passariello, G Villegas

  • 1Universidad Simon Bolivar, Caracas, Venezuela.

Journal of Clinical Engineering
|September 1, 1990
PubMed
Summary
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A new central monitoring system connects to commercial bedside monitors, using a personal computer and microcontroller for real-time ECG display and data analysis. This low-cost solution enhances critical care unit (CCU) monitoring capabilities.

Area of Science:

  • Biomedical Engineering
  • Medical Informatics
  • Computer Science

Background:

  • Intensive care units (ICUs) require continuous patient monitoring.
  • Existing monitoring systems can be costly and inflexible.
  • Integrating diverse bedside monitors presents a technical challenge.

Purpose of the Study:

  • To develop a cost-effective, adaptable central monitoring system for ICUs.
  • To enable real-time display and analysis of Electrocardiogram (ECG) data.
  • To facilitate upgrades for critical care units (CCUs), especially in resource-limited settings.

Main Methods:

  • A four-bed central station utilizing a personal computer (PC) as the local unit and an Intel 8031 microcontroller as the remote unit.
  • ECG signals undergo low-pass filtering, multiplexing, 8-bit analog-to-digital conversion at 256 Hz, and serial conversion via RS-232.

Related Experiment Videos

  • An ECG data-compression algorithm was implemented for standard monitoring sweep rates on a 13-inch screen.

    • Main Results:

    • The system provides real-time display of ECG signals at 25 and 50 mm/sec.
    • Features include heart rate display, alarms, trend plots, and patient data.
    • The remote unit supports up to eight input channels and can be controlled by any PC via RS-232.

    Conclusions:

    • The developed system effectively integrates commercial bedside monitors into a central PC-based monitoring station.
    • The use of a PC ensures low-cost implementation, ideal for upgrading existing CCUs.
    • The system's flexibility allows for future integration of advanced signal processing software.