Havlin S, Amaral L A, Ashkenazy Y, Goldberger A L, Peng C K, Stanley H E
Department of Physics, Bar-Ilan University, Ramat-Gan, Israel.
Physica A. 1999 Dec 1;274(1-2):99-110. doi: 10.1016/s0378-4371(99)00333-7.
We present several recent studies based on statistical physics concepts that can be used as diagnostic tools for heart failure. We describe the scaling exponent characterizing the long-range correlations in heartbeat time series as well as the multifractal features recently discovered in heartbeat rhythm. It is found that both features, the long-range correlations and the multifractility, are weaker in cases of heart failure.
我们展示了几项基于统计物理概念的近期研究,这些研究可用作心力衰竭的诊断工具。我们描述了表征心跳时间序列中长程相关性的标度指数,以及最近在心跳节律中发现的多重分形特征。研究发现,在心力衰竭的情况下,长程相关性和多重分形性这两个特征都较弱。