论文标题
快速时间序列随着心率可变性分析的应用而下降
Fast Time Series Detrending with Applications to Heart Rate Variability Analysis
论文作者
论文摘要
在这里，我们讨论了用于心率变异性分析中使用的非平稳RR时间序列的新快速下降方法。所述方法基于扩散方程，我们以数字表明它等效于广泛使用的平滑较先验方法（SPA）和小波平滑方法（WSA）方法。所提出的方法的速度可与WSA方法相媲美，它比SPA方法快几个数量级，这使其适用于非常长的时间序列分析。
Here we discuss a new fast detrending method for the non-stationary RR time series used in Heart Rate Variability analysis. The described method is based on the diffusion equation, and we show numerically that it is equivalent to the widely used Smoothing Priors Approach (SPA) and Wavelet Smoothing Approach (WSA) methods. The speed of the proposed method is comparable to the WSA method and it is several orders of magnitude faster than the SPA method, which makes it suitable for very long time series analysis.
