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ECG beat detection using filter banks

V X Afonso1, W J Tompkins, T Q Nguyen

  • 1Endocardial Solutions, Inc., Saint Paul, MN 55108, USA.

IEEE Transactions on Bio-Medical Engineering
|February 5, 1999
PubMed
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A novel multirate digital signal processing algorithm uses a filter bank (FB) to detect heartbeats in electrocardiograms (ECG) with high accuracy. This real-time algorithm offers efficient processing and potential for multiple ECG analysis tasks.

Area of Science:

  • Biomedical Engineering
  • Digital Signal Processing
  • Cardiology

Background:

  • Electrocardiogram (ECG) signal analysis is crucial for diagnosing cardiac conditions.
  • Accurate and efficient heart beat detection is a fundamental challenge in ECG processing.
  • Existing methods may face limitations in real-time performance and computational efficiency.

Purpose of the Study:

  • To develop a novel multirate digital signal processing algorithm for accurate ECG heart beat detection.
  • To leverage a filter bank (FB) for enhanced time-frequency analysis of ECG signals.
  • To create a computationally efficient and real-time capable beat detection system.

Main Methods:

  • Designed a multirate digital signal processing algorithm incorporating a filter bank (FB).

Related Experiment Videos

  • Decomposed the ECG signal into uniform frequency subbands for independent time and frequency analysis.
  • Fused decisions from multiple one-channel beat detection algorithms using features from subbands and a heuristic strategy.

    • Main Results:

    • Achieved high performance with 99.59% sensitivity and 99.56% positive predictivity on the MIT/BIH database.
    • Demonstrated minimal beat detection latency, enabling real-time application.
    • The filter bank (FB)-based structure operates at the subband rate, ensuring computational efficiency.

    Conclusions:

    • The developed FB-based algorithm provides a highly sensitive and specific method for ECG heart beat detection.
    • The algorithm is suitable for real-time applications due to its minimal latency and computational efficiency.
    • The FB-based structure offers potential for performing multiple ECG processing tasks with a single set of preprocessing filters.