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Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy

机译:评价归一化熵对心脏自主神经病变的分类

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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:早期发现心脏自主神经病(CAN)对于提供及时的医疗保健至关重要。可以考虑采用多种措施从心跳信号中检测CAN,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间隔的两种度量标准差和Renyi熵。我们发现,在熵的使用中存在谨慎的两个原因。首先,这两个量度是相关的,因此提供仁义熵作为量度的研究人员实际上可能只在测量标准偏差。其次,有几种方法可以计算Renyi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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