过滤人体表面拉普拉斯心电图以产生心房激活模式

W. Besio, P. Tarjan
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引用次数: 5

摘要

为了提高直接得到的拉普拉斯电图(LECG)的信噪比(SNR),对四种数字滤波技术进行了评价,并在模数转换前对其进行了带通滤波。通过检测LECG中的激活时刻(MOA),可以创建显示激活模式的等时体表图。未处理的心房LECG活动与导联II心电图(L2)的p波一致。部分心房扑动激活模式也被构建。LECG系统有望揭示潜在的心脏激活模式,包括心房的激活模式,这些模式远不如心室的激活模式突出。
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Filtering of surface Laplacian electrocardiograms from humans to produce atrial activation patterns
Four digital filtering techniques were evaluated to improve the signal-to-noise ratio (SNR) of directly obtained Laplacian electrograms (LECG), which were bandpass filtered before analog to digital conversion. The moment of activation (MOA) in the LECG was detected to create isochronal body surface maps, which show activation patterns. Unprocessed atrial LECG activity coincided with P-waves in the Lead II ECG (L2). Partial atrial flutter activation patterns were also constructed. The LECG system promises to reveal underlying cardiac activation patterns, including those of the atria, which are far less prominent than those from the ventricles.
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