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Microcontroller-based real-time QRS detection.

Y Sun1, S Suppappola, T A Wrublewski

  • 1Department of Electrical Engineering, University of Rhode Island, Kingston 02881.

Biomedical Instrumentation & Technology
|November 1, 1992
PubMed
Summary
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This study presents a real-time electrocardiogram (ECG) QRS complex detection system using a microcontroller. The developed nonlinear transform algorithm enhances QRS detection and can reject pacemaker spikes effectively.

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Medical Instrumentation

Background:

  • Real-time QRS complex detection is crucial for electrocardiogram (ECG) analysis.
  • Existing systems face challenges in accuracy, speed, and artifact rejection.

Purpose of the Study:

  • To design and evaluate a microcontroller-based system for real-time QRS complex detection.
  • To assess the performance of various nonlinear transform algorithms for QRS enhancement.

Main Methods:

  • A single-chip microcontroller (Motorola 68HC811) was utilized for system design.
  • Nonlinear transform algorithms were evaluated using the American Heart Association (AHA) ECG database.
  • Systematic analysis of instrumentation requirements and design techniques was performed.

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Main Results:

  • A nonlinear transform involving multiplication of three adjacent, sign-consistent differences demonstrated good performance and rapid response.
  • The algorithm effectively rejected pacemaker spikes when implemented with an appropriate sampling rate.
  • The eight-bit microcontroller provided sufficient throughput and satisfactory performance.

Conclusions:

  • The developed system offers a cost-effective and maintainable solution for real-time QRS detection.
  • Implementing multiple detection algorithms enhances system flexibility and reliability.
  • The chosen nonlinear transform algorithm is suitable for accurate and efficient QRS complex identification.