Non-random fluctuations and multi-scale dynamics regulation of human activity
Non-random fluctuations and multi-scale dynamics regulation of human activity
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DOI：
10.1016/j.physa.2004.01.042
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发表时间：
2004-06-01
影响因子：
3.3
通讯作者：
Shea, SA
中科院分区：
文献类型：
--
作者：
Hu, K;Ivanov, PC;Shea, SA
我们调查是否已知的外在和内在因素完全解释了人类活动记录中观察到的复杂特征，这些记录是通过受试者进行常规日常活动的前臂运动来测量的。我们证明了明显随机的前臂运动具有鲁棒的尺度不变和非线性特征的动态模式。这些模式从一个受试者到另一个受试者保持稳定，并且不受个体受试者全天和一周中不同日子的平均活动水平变化的影响，因为它们在日常工作中持续存在，并且当同一受试者进行旨在解释昼夜节律阶段和控制已知外部因素的时间隔离实验室实验时持续存在。此外，通过模拟整个实验室方案中强加的预定事件，我们证明它们不能解释在活动波动中观察到的缩放模式。我们将这些模式归因于先前未被认识到的人类活动的内在非线性多尺度控制机制，该机制独立于已知的外部因素，如随机和计划事件，以及已知的具有单一特征时间尺度的内在因素，如昼夜节律和超昼夜节律。(C) 2004 Elsevier B.V.版权所有
We investigate if known extrinsic and intrinsic factors fully account for the complex features observed in recordings of human activity as measured from forearm motion in subjects undergoing their regular daily routine. We demonstrate that the apparently random forearm motion possesses dynamic patterns characterized by robust scale-invariant and nonlinear features. These patterns remain stable from one subject to another and are unaffected by changes in the average activity level that occur within individual subjects throughout the day and on different days of the week, since they persist during daily routine and when the same subjects undergo time-isolation laboratory experiments designed to account for the circadian phase and to control the known extrinsic factors. Further, by modeling the scheduled events imposed throughout the laboratory protocols, we demonstrate that they cannot account for the observed scaling patterns in activity fluctuations. We attribute these patterns to a previously unrecognized intrinsic nonlinear multi-scale control mechanism of human activity that is independent of known extrinsic factors such as random and scheduled events, as well as the known intrinsic factors which possess a single characteristic time scale such as circadian and ultradian rhythms. (C) 2004 Elsevier B.V. All rights reserved.