Stroink G, Meeder R J, Elliott P, Lant J, Gardner M J
Department of Physics, Dalhousie University, Halifax, Nova Scotia, Canada.
Pacing Clin Electrophysiol. 1999 Dec;22(12):1718-28. doi: 10.1111/j.1540-8159.1999.tb00403.x.
Magnetic field maps and body surface potential maps can be used to measure cardiac activity. The ability of magnetic and potential body surface maps to identify patients' vulnerable to recurrent sustained ventricular arrhythmia (VA) were compared. Magnetic field maps (MFM) and body surface potential mapping (BSPM) were obtained from 76 normal (N) subjects, 15 myocardial infarct (MI) patients, and 15 VA patients. QRST integral maps were calculated for each subject and nondipolar content was determined using Karhunen-Loeve transform eigen-maps. Although differences in nondipolar content were significant between the normal and patient groups (P = 2.4 x 10(-5) for BSPM and P = 6.0 x 10(-8) for MFM), differences in nondipolar content between MI and VA patients using QRST integral BSPM and MFM maps were not significant. The trajectory of the location of the maxima and minima on the map area during the QRS and ST-T intervals were also constructed. Discrimination between MI and VA patients was based on intergroup differences in the amount of fragmentation of the trajectory plots. The ST-T trajectory plots were significantly more fragmented (P < 0.0001 and P < 0.05 for MFM and BSPM, respectively) for VA than for MI patients. The ST-T interval MFM and BSPM trajectory plots enabled separation of MI and VA patients with accuracies of 83% and 73%, respectively. These results suggest that repolarization MFM and BSPM extrema trajectory plots can be used effectively as a means of identifying patients at risk for VA.
磁场图和体表电位图可用于测量心脏活动。比较了磁场图和体表电位图识别易发生复发性持续性室性心律失常(VA)患者的能力。对76名正常(N)受试者、15名心肌梗死(MI)患者和15名VA患者进行了磁场图(MFM)和体表电位标测(BSPM)。计算每个受试者的QRST积分图,并使用卡尔胡宁-勒夫变换特征图确定非偶极成分。虽然正常组和患者组之间的非偶极成分存在显著差异(BSPM为P = 2.4×10⁻⁵,MFM为P = 6.0×10⁻⁸),但使用QRST积分BSPM和MFM图时,MI患者和VA患者之间的非偶极成分差异不显著。还构建了QRS和ST-T间期地图区域上最大值和最小值位置的轨迹。MI患者和VA患者之间的判别基于轨迹图碎片化程度的组间差异。VA患者的ST-T轨迹图比MI患者的碎片化程度明显更高(MFM和BSPM分别为P < 0.0001和P < 0.05)。ST-T间期MFM和BSPM轨迹图分别以83%和73%的准确率区分了MI患者和VA患者。这些结果表明,复极MFM和BSPM极值轨迹图可有效地用于识别有VA风险的患者。