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Digital processing of equine exercise electrocardiograms.

J W Hartley1, A W Hahn, M DeLorey

  • 1John M. Dalton Research Center, University of Missouri, Columbia 65211.

Biomedical Sciences Instrumentation
|January 1, 1990
PubMed
Summary
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We developed a system to record and analyze horse electrocardiograms (ECG) during exercise. Our method accurately identifies key ECG waves even with significant artifact, aiding equine research.

Area of Science:

  • Equine cardiology
  • Veterinary diagnostics
  • Biomedical engineering

Background:

  • Analyzing equine electrocardiograms (ECG) during exercise presents challenges due to motion artifact.
  • Accurate ECG analysis is crucial for diagnosing cardiac conditions in horses.

Purpose of the Study:

  • To develop and validate a system for recording and analyzing horse ECG during exercise.
  • To improve the identification of specific ECG waves in the presence of artifact.

Main Methods:

  • A commercial ECG transmitter telemetered a Z lead (base-apex) ECG from exercising horses.
  • Data were stored on audio cassette, digitized, and analyzed using a Macintosh II computer.
  • An integrated-squared-derivative (ISD) technique with digital filtering and adaptive thresholding was employed to identify ECG waves.

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Main Results:

  • The system successfully identified the Q, R, and end of T waves in ECGs with severe exercise-induced artifact.
  • The system can export the precise timing of identified waves for further statistical analysis.
  • The developed method refines the ISD technique for enhanced wave detection.

Conclusions:

  • This system provides a reliable method for acquiring and analyzing equine ECG during exercise.
  • The artifact-robust wave identification is valuable for equine cardiac research and diagnostics.
  • The data export functionality facilitates integration with other analytical tools.