Action Potential Modeling in Isolated Rat Hearts During Hypokalemia

M. Llamedo, A. Santini, Emiliano Diez
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Abstract

This study aimed to develop a detector with few physiologically-meaningful parameters, that could be capable of detecting pseudo periodic patterns. The algorithm is based in a signal detection based on a matched filter, and a threshold calculation based on robust stadistics. The evaluation of the detector was performed under a corpus consisting in two sets. One set of human ECGs, and one set of rodent pseudo ECGs. The evaluation was performed with respect to the gold standard annotations, and was calculated in terms of sensitivity (S) and positive predictive value (P). For the human ECG set of recordings, the detector had 100 S and 99.9 P, while for the rodent pseudo ECG set of recordings the results where 97.1 S and 79.1 P. Both sets results are median values. The results obtained under the rodent set where compared to those obtained with another two detectors, where our detector obtained the best results. The algorithm achieved promising results, in a broad set of ECG recordings of very different nature, with the additional capability of further adaptation provided by expert assistance.
低钾血症时离体大鼠心脏动作电位模拟
本研究旨在开发一种具有少量生理意义参数的检测器,能够检测伪周期模式。该算法是基于匹配滤波器的信号检测和基于鲁棒统计的阈值计算。检测器的评估是在由两组组成的语料库下进行的。一组人的心电图,一组啮齿动物的假心电图。根据金标准注释进行评估,并根据灵敏度(S)和阳性预测值(P)进行计算。对于人类ECG记录集,检测器的结果为100 S和99.9 P,而对于啮齿动物伪ECG记录集,结果为97.1 S和79.1 P。两组结果均为中值。在啮齿类动物组下获得的结果与另外两个检测器获得的结果进行了比较,其中我们的检测器获得了最好的结果。该算法在一组非常不同性质的心电图记录中取得了令人满意的结果,并具有专家协助提供的进一步适应能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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