Kors J A, van Herpen G
Department of Medical Informatics, Faculty of Medicine and Health Sciences, Erasmus University, Rotterdam, The Netherlands.
Am J Cardiol. 2001 Aug 15;88(4):396-9. doi: 10.1016/s0002-9149(01)01686-1.
In recording an electrocardiogram (ECG), an interchange of electrodes may easily go unnoticed. Automatic detection would be desirable, but current algorithms, when dealing with more than left arm-right arm reversal, have moderate sensitivity. We propose a novel approach that uses the redundancy of information in the standard 12-lead ECG. We assume that each of the 8 independent electrocardiographic leads can be reconstructed from the 7 others in reasonable approximation. The correlation between any electrocardiographic lead and its reconstruction should be higher if the electrodes are correctly placed than when some interchange were present. The difference in correlation should have discriminative power. This was verified on a set of 3,305 ECGs for 14 common electrode interchange errors. The material was split in a learning and test set, and general reconstruction coefficients were computed from the learning set. For each interchange, electrode-error ECGs were derived by rearranging leads of the unaltered ECGs. Correlations between the actual leads and their reconstructions were computed for all ECGs. From the differences in lead correlation, decision rules were derived for each kind of interchange. All 14 rules had specificities of > or =99.5% in the test set. Sensitivities were > or =93% for 11 rules, and left arm-left leg electrode reversal scored low.
在记录心电图（ECG）时，电极的互换很容易被忽视。自动检测是可取的，但当前的算法在处理除左臂 - 右臂电极反转之外的更多情况时，灵敏度适中。我们提出了一种新颖的方法，该方法利用标准12导联心电图中的信息冗余。我们假设8个独立的心电图导联中的每一个都可以由其他7个导联合理近似地重建。如果电极放置正确，任何心电图导联与其重建之间的相关性应该比存在某些互换时更高。相关性的差异应该具有判别力。这在一组3305份心电图上针对14种常见的电极互换错误进行了验证。材料被分为学习集和测试集，并从学习集中计算出一般的重建系数。对于每种互换，通过重新排列未改变的心电图导联来得出电极错误的心电图。计算所有心电图中实际导联与其重建之间的相关性。根据导联相关性的差异，为每种互换推导决策规则。在测试集中，所有14条规则的特异性均≥99.5%。11条规则的灵敏度≥93%，左臂 - 左腿电极反转的灵敏度较低。
