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Effective algorithm for on-line analysis of electrophysiological signals recorded from isolated cardiac preparations

机译:孤立心脏准备记录的电生理信号在线分析的有效算法

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Despite the crucial role of automated data analysis in the experimental cardiology, only few well documented solutions for parameter subtraction from intracellular electrophysiological signals have been published so far. Moreover, many of them contain restrictions on the level of the noise or require frequent external control. The authors' algorithm is devoid of these drawbacks. For making the analysis precise but fast, the following techniques were applied: (1) The localization of action potential was performed with a reduced set of acquisited points. (2) The establishment of the signal durations was achieved by a step-limited iterative interval-halving procedure. (3) The maximum derivatives were obtained by means of a method being able to adapt to the steepness, signal-by-signal. As the tests have been proven, the efficiency of the authors' algorithm is well enough to provide reliable data even under complex experimental circumstances.
机译:尽管自动化数据分析在实验心脏系中的作用是至关重要的,但到目前为止仅发布了少数少数有关细胞内电生理信号的参数减法的解决方案。此外,其中许多包含对噪声水平的限制或需要频繁的外部控制。作者的算法没有这些缺点。为了进行精确但快速地进行分析,应用以下技术:(1)用减少的拾取点进行动作电位的定位。 (2)通过阶跃有限的迭代间隔减半程序实现信号持续时间的建立。 (3)通过能够适应陡度,信号逐信号来获得最大衍生物。随着测试的证明,作者算法的效率很好,即使在复杂的实验情况下也能提供可靠的数据。

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