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A method to extract realistic artifacts from electrocardiogram recordings for robust algorithm testing.

Loriano Galeotti1, Christopher G Scully2

  • 1Office of Device Evaluation, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA.

Journal of Electrocardiology
|September 6, 2018
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Summary
This summary is machine-generated.

A new method accurately estimates device-specific noise and artifacts from electrocardiogram (ECG) records. This allows for the creation of realistic noise-only signals to test ECG analysis algorithm performance.

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Medical Informatics

Background:

  • Electrocardiogram (ECG) analysis algorithms require robust performance evaluation.
  • Simulating realistic noise and artifacts is crucial for assessing algorithm performance.
  • Existing methods for generating noise signals can be complex or require specialized equipment.

Purpose of the Study:

  • To develop a method for estimating device-specific signal noise and artifacts from ECG records.
  • To create realistic noise-only signals for testing ECG and arrhythmia analysis algorithms.
  • To enable simple, device-specific noise recording from healthy subjects.

Main Methods:

  • A noise-estimation method based on subtracting a time-aligned median beat from a noisy ECG recording was proposed.
  • Electrode motion and muscle artifact noise were added to simulated ECG signals at various signal-to-noise ratios (SNRs).
  • Statistical characteristics, including root-mean squared error and frequency band power, were compared between original noise and estimated noise.

Main Results:

  • The proposed method demonstrated good quality noise estimation through visual and frequency analysis.
  • Root-mean squared error between actual and estimated noise was consistently below 0.5 Normalized Units across all tested SNRs.
  • Band power error remained stable, with median percentage errors below 10% for cardiac and mid-frequency bands.

Conclusions:

  • Estimating noise from ECG records is a viable method for generating device-specific noise and artifact-only signals.
  • These signals can be easily collected from healthy subjects without specialized setups.
  • The generated signals are suitable for enhancing the robustness assessment of ECG analysis algorithms.