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Multi-scale Order Recurrence Plot based deterministic analysis on Heart Rate Variability in Congestive Heart Failure Assessment

机译:基于多尺寸顺序复发绘制的充血性心力衰竭评估心率变异性的确定性分析

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Congestive heart failure (CHF) is a cardiovascular disease associated with the abnormal autonomic nervous system (ANS). Heart rate variability analysis (HRV) is the main method for the quantitative evaluation of autonomic nervous function. Common analytical methods of HRV include time domain, frequency domain, and nonlinear methods. However, these methods generally ignore the short-term volatility of heart rate and autonomic ganglion law. Therefore, this study proposes a new parameter to analyze heart rate variability-determination of a multi-scale order recurrence plot (MSORP_DET). This method can analyze the HRV in patients with heart failure on multiple time scales. This study analyzed the R-R interval in 24-hour HRV data from 98 samples (54 normal subjects and 44 patients with CHF). The results showed that MSORP_DET could significantly distinguish CHF patients from normal subjects (p<0.001). Moreover, the accuracy rate of screening patients with CHF reached the maximum of 81.6% by using the combination of low frequency/high frequency (LF/HF) and MSORP_DET, compared with 78.6% when using LF/HF alone. Therefore, MSORP_DET can be used as a new index to screen patients with CHF and reveal that the rhythm of ANS in patients with heart failure is more complex than that in normal people.
机译:充血性心力衰竭(CHF)是与异常自主神经系统(ANS)相关的心血管疾病。心率可变性分析(HRV)是对自主神经功能进行定量评估的主要方法。 HRV的常见分析方法包括时域,频域和非线性方法。然而,这些方法通常忽视心率和自主神经神经神经神经节法的短期波动。因此,本研究提出了一种新参数来分析心率可变性 - 确定多尺寸顺序复发图(MSORP_DET)的确定。该方法可以在多次尺度上分析心力衰竭患者的HRV。本研究分析了98个样品的24小时HRV数据中的R-R间隔(54例正常受试者和44例CHF患者)。结果表明,MSORP_DET可以显着区分CHF患者从正常受试者(P <0.001)。此外,通过使用低频/高频(LF / HF)和MSORP_DET的组合,筛选CHF患者的筛选患者的准确率达到81.6%,而单独使用LF / HF时,与78.6%相比。因此,MSORP_DET可以用作筛选CHF患者的新指数,并揭示心力衰竭患者的节奏比正常人更复杂。

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