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首页> 外文期刊>BMC Medical Informatics and Decision Making >Selection of optimal recording sites for limited lead body surface potential mapping: A sequential selection based approach
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Selection of optimal recording sites for limited lead body surface potential mapping: A sequential selection based approach

机译：选择有限的铅体表面电势图的最佳记录位点：一种基于顺序选择的方法

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Background In this study we propose the development of a new algorithm for selecting optimal recording sites for limited lead body surface potential mapping. The proposed algorithm differs from previously reported methods in that it is based upon a simple and intuitive data driven technique that does not make any presumptions about deterministic characteristics of the data. It uses a forward selection based search technique to find the best combination of electrocardiographic leads. Methods The study was conducted using a dataset consisting of body surface potential maps (BSPM) recorded from 116 subjects which included 59 normals and 57 subjects exhibiting evidence of old Myocardial Infarction (MI). The performance of the algorithm was evaluated using spatial RMS voltage error and correlation coefficient to compare original and reconstructed map frames. Results In all, three configurations of the algorithm were evaluated and it was concluded that there was little difference in the performance of the various configurations. In addition to observing the performance of the selection algorithm, several lead subsets of 32 electrodes as chosen by the various configurations of the algorithm were evaluated. The rationale for choosing this number of recording sites was to allow comparison with a previous study that used a different algorithm, where 32 leads were deemed to provide an acceptable level of reconstruction performance. Conclusion It was observed that although the lead configurations suggested in this study were not identical to that suggested in the previous work, the systems did bear similar characteristics in that recording sites were chosen with greatest density in the precordial region.
机译：背景技术在这项研究中，我们提出了一种新的算法的开发，该算法可以选择最佳的记录位点以用于有限的铅体表面电势测绘。所提出的算法与先前报告的方法的不同之处在于，它基于简单且直观的数据驱动技术，该技术不会对数据的确定性特征做出任何假设。它使用基于前向选择的搜索技术来找到心电图导联的最佳组合。方法该研究是使用由116位受试者记录的身体表面电位图（BSPM）组成的数据集进行的，其中包括59位正常人和57位表现出较旧的心肌梗塞（MI）的受试者。使用空间RMS电压误差和相关系数评估算法的性能，以比较原始地图帧和重建的地图帧。结果总共评估了该算法的三种配置，并得出结论，各种配置的性能几乎没有差异。除了观察选择算法的性能外，还评估了由算法的各种配置选择的32个电极的几个引线子集。选择此数量的记录站点的理由是，可以与使用不同算法的先前研究进行比较，该研究认为32条导联可以提供可接受水平的重建性能。结论观察到，尽管本研究中提出的先导构型与先前工作中提出的构型不同，但该系统确实具有相似的特征，即在心前区选择了最大密度的记录位点。

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