Jiang B, Rugh K S, Hatfield D G, Jiang D, Hahn A W
John M. Dalton Research Center, University of Missouri, Columbia 65211.
Biomed Sci Instrum. 1991;27:291-7.
We have developed a digital signal analysis technique which can be used to evaluate various cardiac events in ponies and horses at rest and during exercise. The algorithm is designed to identify R-wave peaks on the surface electrocardiogram, consistent reference points on the left ventricular pressure waveform and the initiation of the QRS complex on the epicardial electrogram. We have used the technique to evaluate data from 10 horses and ponies at rest, during strenuous exercise and during experimentally-induced coronary artery occlusion. The technique provided rapid and accurate beat-by-beat evaluation of data, even with relatively noisy signals and under conditions in which the waveform configurations were not consistent. The benefits afforded by this technique make it especially useful for extracting information which previously was difficult or impossible to obtain using more conventional methods of analysis.
我们开发了一种数字信号分析技术,可用于评估小马和马在休息及运动时的各种心脏事件。该算法旨在识别体表心电图上的R波峰值、左心室压力波形上的一致参考点以及心外膜电图上QRS复合波的起始点。我们已使用该技术评估了10匹马和小马在休息、剧烈运动及实验性诱导冠状动脉闭塞期间的数据。即使在信号相对嘈杂且波形配置不一致的情况下,该技术也能对数据进行快速准确的逐搏评估。这项技术带来的好处使其特别适用于提取以前使用更传统的分析方法难以或无法获得的信息。