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Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy

机译:基于心脏自主神经病变分类的标准化仁义熵评价

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Early detection of cardiac autonomic neuropathy (CAN) is vital to provide timely health care. There are a variety of measures that can be considered for detection of CAN from the heart beat signal, which should provide a relatively noninvasive test. In this work we consider the use of two measures based on the RR interval — the standard deviation and the Renyi Entropy. We find that caution is indicated in the use of entropy for two reasons. First, these two measures are related, so that the researcher who provides Renyi entropy as a measure may in fact be measuring only the standard deviation. Second, there are several methods for calculating Renyi entropy, so the method needs to be carefully selected to provide meaningful results.
机译:早期检测心脏自主神经病变(CAN)至关重要,提供及时保健。有多种措施可以考虑检测来自心跳信号,这应该提供相对无创的测试。在这项工作中,我们考虑使用基于RR间隔的两项措施 - 标准偏差和仁义熵。我们发现在使用熵的情况下,指出了警告有两个原因。首先,这两项措施是相关的,因此将仁义熵作为措施提供的研究人员实际上只能测量标准差。其次,有几种方法计算瑞尼熵,因此需要仔细选择该方法以提供有意义的结果。

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