Scale Invariance and Nonlinear Patterns of Human Activity
arXiv:physics/0308011 · doi:10.1016/j.physa.2004.01.042
Abstract
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 previously unrecognized dynamic patterns characterized by fractal and nonlinear dynamics. These patterns are unaffected by changes in the average activity level, and persist when the same subjects undergo time-isolation laboratory experiments designed to account for the circadian phase and to control the known extrinsic factors. We attribute these patterns to a novel intrinsic multi-scale dynamic regulation of human activity.
4 pages, three figures
References in corpus (6)
- Multifractality in Human Heartbeat Dynamics
- Effect of Trends on Detrended Fluctuation Analysis
- Effect of nonstationarities on detrended fluctuation analysis
- The statistical properties of the volatility of price fluctuations
- Magnitude and Sign Correlations in Heartbeat Fluctuations
- Sleep-Wake Differences in Scaling Behavior of the Human Heartbeat: Analysis of Terrestrial and Long-Term Space Flight Data
Cited by in corpus (14)
- Quantifying signals with power-law correlations: A comparative study of detrended fluctuation analysis and detrended moving average techniques
- Effect of nonlinear filters on detrended fluctuation analysis
- Effect of extreme data loss on long-range correlated and anti-correlated signals quantified by detrended fluctuation analysis
- Detrended fluctuation analysis of the magnetic and electric field variations that precede rupture
- Cross-Correlation of Instantaneous Phase Increments in Pressure-Flow Fluctuations: Applications to Cerebral Autoregulation
- Fractal and Multifractal Properties of Electrographic Recordings of Human Brain Activity: Toward Its Use as a Signal Feature for Machine Learning in Clinical Applications
- Unraveling the fluctuations of animal motor activity
- Detailed analysis and comparison of different activity metrics
- Heterogenous Human Dynamics in Intra and Inter-day Time Scale
- Effect of significant data loss on identifying electric signals that precede rupture by detrended fluctuation analysis in natural time
- How we move is universal: scaling in the average shape of human activity
- On multifractals: a non-linear study of actigraphy data
- Utilizing entropy to systematically quantify the resting-condition baroreflex regulation function
- Is non-Gaussianity sufficient to produce long-range volatile correlations?