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Mining for diagnostic information in body surface potential maps: A comparison of feature selection techniques

机译:体表电位图中诊断信息的挖掘:特征选择技术的比较

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摘要

BackgroundIn body surface potential mapping, increased spatial sampling is used to allow more accurate detection of a cardiac abnormality. Although diagnostically superior to more conventional electrocardiographic techniques, the perceived complexity of the Body Surface Potential Map (BSPM) acquisition process has prohibited its acceptance in clinical practice. For this reason there is an interest in striking a compromise between the minimum number of electrocardiographic recording sites required to sample the maximum electrocardiographic information.
机译:背景技术在体表电位测绘中,增加的空间采样用于允许更准确地检测心脏异常。尽管在诊断上优于更常规的心电图技术,但是体表电位图(BSPM)采集过程的感知复杂性已使其在临床实践中无法接受。出于这个原因,有必要在对最大心电图信息进行采样所需的最小心电图记录位置数量之间取得折中。

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