Merri M, Benhorin J, Alberti M, Locati E, Moss A J
Department of Electrical Engineering, University of Rochester, New York.
Circulation. 1989 Nov;80(5):1301-8. doi: 10.1161/01.cir.80.5.1301.
Quantification of the electrocardiographic ventricular repolarization involving the T-U wave complex is usually performed with reference to the axis of the T wave and the QT interval duration. A novel quantitative approach to improve the description of ventricular repolarization was applied to the digitized electrocardiograms of 423 normal subjects. Six electrocardiographic repolarization characteristics were identified: duration, rate, area, symmetry, late phenomena, and interlead heterogeneity. A computer algorithm was designed to automatically interpret the electrocardiographic repolarization segment and measure 11 variables that quantified these repolarization characteristics. The application of redundancy-reduction techniques selected a final set of seven variables that were used in the statistical analysis. The QT interval, which was included in the initial group of variables, was replaced by the time interval between S wave offset and T wave maximum. All selected electrocardiographic variables were independent of age (r2 less than 0.11) and body surface area (r2 less than 0.03); all except the early duration variable were heart rate- and QT interval-independent (r2 less than 0.2, r2 less than 0.13, respectively; and most were uncorrelated to each other. A comparison of repolarization characteristics by gender revealed that repolarization duration was significantly more prolonged (p less than 0.0001) in women than in men. This multidimensional quantitative approach conveys a new and more complete description of the repolarization process and provides an electrocardiographic repolarization database in normal subjects as a reference standard for identifying patients with disordered repolarization.
涉及T-U波复合体的心电图心室复极定量通常是参照T波轴和QT间期时长来进行的。一种用于改进心室复极描述的新型定量方法被应用于423名正常受试者的数字化心电图。确定了六种心电图复极特征:时长、速率、面积、对称性、晚期现象和导联间异质性。设计了一种计算机算法来自动解读心电图复极段并测量11个量化这些复极特征的变量。冗余减少技术的应用选择了一组最终的七个变量用于统计分析。初始变量组中包含的QT间期被S波偏移至T波最大值之间的时间间隔所取代。所有选定的心电图变量均与年龄(r2小于0.11)和体表面积(r2小于0.03)无关;除早期时长变量外,所有变量均与心率和QT间期无关(分别为r2小于0.2和r2小于0.13;且大多数彼此不相关)。按性别对复极特征进行比较显示,女性的复极时长明显比男性延长(p小于0.0001)。这种多维定量方法对复极过程给出了一种新的、更完整的描述,并为正常受试者提供了一个心电图复极数据库,作为识别复极异常患者的参考标准。