Chen Ying, Nash Martyn P, Ning Xinbao, Wang Yelin, Paterson David J, Wang Jun
Department of Electronic Science and Engineering, Nanjing University, Nanjing CO 1051, China.
IEEE Trans Biomed Eng. 2006 Oct;53(10):1920-5. doi: 10.1109/TBME.2006.873557.
Myocardial ischemia creates abnormal electrophysiological substrates that can result in life-threatening ventricular arrhythmias. Early clinical identification of ischemia in patients is important to managing their condition. We analyzed electrograms from an ischemia-reperfusion animal model in order to investigate the relationship between myocardial ischemia and variability of electrocardiogram (ECG) multifractality. Ventricular epicardial electropotential maps from the anesthetized pig during LAD ischemia-reperfusion were analyzed using multifractal methods. A new parameter called the singularity spectrum area reference dispersion (SARD) is presented to represent the temporal evolution of multifractality. By contrasting the ventricular epicardial SARD and range of singularity strength (delta alpha) maps against activation-recovery interval (ARI) maps, we found that the dispersions of SARD and dleta alpha increased following the onset of ischemia and decreased with tissue recovery. In addition, steep spatial gradients of SARD and delta alpha corresponded to locations of ischemia, although the distribution of multifractality did not reflect the degree of myocardial ischemia. However, the multifractality of the ventricular epicardial electrograms was useful for classifying the recoverability of ischemic tissue. Myocardial ischemia significantly influenced the multifractality of ventricular electrical activity. Recoverability of ischemic myocardium can be classified using the multifractality of ventricular epicardial electrograms. The location and size of regions of severe ischemic myocardium with poor recoverability is detectable using these methods.
心肌缺血会产生异常的电生理基质,进而导致危及生命的室性心律失常。对患者缺血情况进行早期临床识别对于病情管理至关重要。我们分析了缺血再灌注动物模型的心电图,以研究心肌缺血与心电图多重分形变异性之间的关系。使用多重分形方法分析了麻醉猪在左前降支缺血再灌注期间的心外膜心室电位图。提出了一个名为奇异谱面积参考离散度(SARD)的新参数来表示多重分形的时间演变。通过将心外膜心室SARD和奇异强度范围(δα)图与激活恢复间期(ARI)图进行对比,我们发现缺血开始后SARD和δα的离散度增加,随着组织恢复而降低。此外,SARD和δα的陡峭空间梯度对应于缺血部位,尽管多重分形的分布并未反映心肌缺血的程度。然而,心外膜心室电图的多重分形对于缺血组织恢复能力的分类很有用。心肌缺血显著影响心室电活动的多重分形。可使用心外膜心室电图的多重分形对缺血心肌的恢复能力进行分类。使用这些方法可检测到恢复能力差的严重缺血心肌区域的位置和大小。