人体生理学中的噪声和波动:健康和疾病中的异常统计

Yoshiharu Yamamoto
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引用次数: 0

摘要

介绍了心率和体力活动这两种生理信号的复杂动力学。两者的特征都是稳健和异常(远程相关,非高斯和/或非泊松)统计,分别在神经心脏疾病和临床抑郁症的情况下被打破。这些信号很容易在日常生活中连续获得,可以作为研究生物复杂性和临床(移动医疗)应用的“基准”选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Noise and fluctuations in human physiology: Anomalous statistics in health and diseases
Complex dynamics of two physiological signals, heart rate and physical activity, are introduced. Both are characterized by robust and anomalous (long-range correlated, non-Gaussian and/or non-Poisson) statistics, which break down in cases of neuro-cardiologic diseases and clinical depression, respectively. These signals, easily obtained continuously in everyday life, may serve as the “benchmark” of choice for studies of biological complexity and clinical (m-health) applications.
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