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

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作者
Vadim Alexeenko
James A. Fraser
Alexey Dolgoborodov
Mark Bowen
Christopher L.-H. Huang
Celia M. Marr
Kamalan Jeevaratnam
机构
[1] University of Surrey,Faculty of Health and Medical Sciences
[2] University of Cambridge,Physiological Laboratory
[3] Seven Bridge Genomics,Faculty of Medicine & Health Sciences
[4] University of Nottingham,Division of Cardiovascular Biology, Department of Biochemistry
[5] Rossdales Equine Hospital and Diagnostic Centre,undefined
[6] Exning,undefined
[7] University of Cambridge,undefined
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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.
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