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[Automatic ECG analysis system based on TMS320F206].

Zhen Wang1, Ping Cai, Jin-wen Xi

  • 1Dept. of Information Measurement Technology and Instrument, Shanghai Jiao Tong University.

Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation
|August 18, 2005
PubMed
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This paper introduces an automatic electrocardiogram (ECG) analysis system using digital signal processing (DSP) for real-time arrhythmia detection. The system accurately identifies over 10 types of arrhythmias, aiding in timely medical intervention.

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Medical Diagnostics

Context:

  • Electrocardiogram (ECG) analysis is crucial for diagnosing cardiac conditions.
  • Real-time processing of ECG signals presents significant computational challenges.
  • Existing automated systems may lack accuracy or comprehensive arrhythmia detection capabilities.

Purpose:

  • To develop an automated ECG analysis system utilizing Digital Signal Processing (DSP).
  • To implement real-time signal regulation, adaptive filtering, and QRS wave positioning.
  • To achieve automatic recognition and alarming for over 10 types of cardiac arrhythmias.

Summary:

  • The system employs a Texas Instruments DSP (TMS320F206) for efficient real-time signal processing.
  • Key functionalities include adaptive filtering and automatic arrhythmia diagnosis.

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  • The system successfully performs signal regulation, QRS complex localization, and identifies more than 10 arrhythmia types.

    • Impact:

    • Enables rapid and accurate automated diagnosis of various arrhythmias.
    • Provides a foundation for advanced real-time cardiac monitoring solutions.
    • Potential to improve patient outcomes through early detection and intervention.