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The application of Lempel-Ziv and Titchener complexity analysis for equine telemetric electrocardiographic recordings.

Vadim AlexeenkoJames A FraserAlexey DolgoborodovIan Mark BowenChristopher L-H HuangCelia M MarrKamalan Jeevaratnam
Published in: Scientific reports (2019)
The analysis of equine electrocardiographic (ECG) recordings is complicated by the absence of agreed abnormality classification criteria. We explore the applicability of several complexity analysis methods for characterization of non-linear aspects of electrocardiographic recordings. We here show that complexity estimates provided by Lempel-Ziv '76, Titchener's T-complexity and Lempel-Ziv '78 analysis of ECG recordings of healthy Thoroughbred horses are highly dependent on the duration of analysed ECG fragments and the heart rate. The results provide a methodological basis and a feasible reference point for the complexity analysis of equine telemetric ECG recordings that might be applied to automate detection of equine arrhythmias in equine clinical practice.
Keyphrases
  • heart rate
  • heart rate variability
  • blood pressure
  • left ventricular
  • clinical practice
  • left atrial
  • machine learning
  • heart failure
  • quantum dots