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首页> 外文期刊>Journal of Electronics (CHINA) >THE APPLICATION OF EVOLUTIONARY ALGORITHM IN DETERMINING T WAVE-END*
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THE APPLICATION OF EVOLUTIONARY ALGORITHM IN DETERMINING T WAVE-END*

机译:进化算法在确定T波端中的应用*

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There have been several methods for determining T wave-end. But none of them can overcome the difficulty from multiformity of ECG signal pattern. In this paper, a method for determining T wave-end using evolutionary algorithm (EA) is proposed. In this way, first, every characteristic parameter related to T wave-end is encoded to a string of codes, and adaptation function is constructed with the string of codes. Then choose the individual according to the adaptation function value and do genetic operation (reproduction, crossover and mutation) l so as to produce offspring with more adaptation function value. Because of EA's autoadaptation and autoorganization character, it can trace ECG signal type and find the T wave-end automatically. Experiment results show that the error ratio of recognizing T wave-end using this method is much smaller than that using existing method.
机译:已经有几种确定T波结束的方法。但是它们都无法克服ECG信号模式多样化带来的困难。提出了一种用进化算法(EA)确定T波终点的方法。这样,首先,将与T波端有关的每个特征参数编码为一串代码,并利用该串代码构造自适应函数。然后根据适应功能值选择个体,进行遗传操作(繁殖,杂交和突变),以产生具有更多适应功能值的后代。由于EA具有自适应性和自动组织性,因此它可以跟踪ECG信号类型并自动找到T波端。实验结果表明,与现有方法相比,该方法识别T波端的误码率要小得多。

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