Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7AL, United Kingdom.
Physiological Laboratory, University of Cambridge, Cambridge, CB2 3DY, United Kingdom.
Sci Rep. 2019 Feb 22;9(1):2619. doi: 10.1038/s41598-019-38935-7.
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.
马的心电图(ECG)记录的分析由于缺乏公认的异常分类标准而变得复杂。我们探讨了几种复杂性分析方法在描述心电图记录的非线性方面的适用性。我们在这里表明,Lempel-Ziv '76、Titchener 的 T 复杂度和 Lempel-Ziv '78 分析健康的纯血马心电图记录的复杂度估计值高度依赖于分析的 ECG 片段的持续时间和心率。该结果为马遥测心电图记录的复杂性分析提供了方法学基础和可行的参考点,可应用于马临床实践中自动检测马的心律失常。