Such-Miquel Luis, Chorro Francisco J, Guerrero Juan, Trapero Isabel, Brines Laia, Zarzoso Manuel, Parra Germán, Soler Carlos, del Canto Irene, Alberola Antonio, Such Luis
Departamento de Fisioterapia, Universitat de València, Valencia, Spain.
Departamento de Medicina, Universitat de València, Valencia, Spain; Servicio de Cardiología, Hospital Clínico Universitario, INCLIVA, Valencia, Spain.
Rev Esp Cardiol (Engl Ed). 2013 Mar;66(3):177-84. doi: 10.1016/j.rec.2012.08.012. Epub 2012 Dec 7.
An experimental model is used to analyze the characteristics of ventricular fibrillation in situations of variable complexity, establishing relationships among the data produced by different methods for analyzing the arrhythmia.
In 27 isolated rabbit heart preparations studied under the action of drugs (propranolol and KB-R7943) or physical procedures (stretching) that produce different degrees of change in the complexity of myocardial activation during ventricular fibrillation, use was made of spectral, morphological, and mapping techniques to process the recordings obtained with epicardial multielectrodes.
The complexity of ventricular fibrillation assessed by mapping techniques was related to the dominant frequency, normalized spectral energy, signal regularity index, and their corresponding coefficients of variation, as well as the area of the regions of interest identified on the basis of these parameters. In the multivariate analysis, we used as independent variables the area of the regions of interest related to the spectral energy and the coefficient of variation of the energy (complexity index=-0.005×area of the spectral energy regions -2.234×coefficient of variation of the energy+1.578; P=.0001; r=0.68).
The spectral and morphological indicators and, independently, those derived from the analysis of normalized energy regions of interest provide a reliable approach to the evaluation of the complexity of ventricular fibrillation as an alternative to complex mapping techniques.
采用实验模型分析不同复杂程度情况下室颤的特征,建立不同心律失常分析方法所产生数据之间的关系。
在27个离体兔心标本上,研究药物(普萘洛尔和KB-R7943)或物理方法(拉伸)作用下室颤时心肌激活复杂性产生不同程度变化的情况,利用频谱、形态学和标测技术处理心外膜多电极记录的数据。
通过标测技术评估的室颤复杂性与主导频率、归一化频谱能量、信号规则性指数及其相应的变异系数,以及基于这些参数确定的感兴趣区域面积有关。在多变量分析中,将与频谱能量相关的感兴趣区域面积和能量变异系数作为自变量(复杂性指数=-0.005×频谱能量区域面积-2.234×能量变异系数+1.578;P=.0001;r=0.68)。
频谱和形态学指标,以及独立地从感兴趣的归一化能量区域分析得出的指标,为评估室颤复杂性提供了一种可靠的方法,可替代复杂的标测技术。