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Long-term symbolic dynamics for heart rate variability analysis in patients with dilated cardiomyopathy

机译:扩张型心肌病患者心率变异性的长期象征动力学

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This study was designed to improve the prognostic value of heart rate variability (HRV) in patients with dilated cardiomyopathy (DCM) using a new method of long-term symbolic dynamics. DCM patients show a decreased HRV in comparison to healthy subjects (p>0.03). A lower ejection fraction leads to a further reduction in HRV (p>0.01). Moreover, the DCM patients exhibit a decreased low frequency component (p>0.001). The Renyi-entropy of the word distribution as a method of long-term symbolic dynamics show the most significant differences between the LVEF>27% and <27% group (p>0.001). The new non-linear method of symbolic dynamics leads to an increased diagnostic precision in characterizing DCM patients.
机译:这项研究旨在使用一种新的长期符号动力学方法,改善扩张型心肌病(DCM)患者的心率变异性(HRV)的预后价值。与健康受试者相比,DCM患者的HRV降低(p> 0.03)。较低的射血分数会导致HRV进一步降低(p> 0.01)。此外,DCM患者的低频成分降低(p> 0.001)。作为长期符号动态的一种方法,单词分布的Renyi熵显示LVEF> 27%和<27%组之间的最显着差异(p> 0.001)。新的非线性符号动力学方法导致表征DCM患者的诊断准确性提高。

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