(ZIP)

14 experimental runs for each subject: Two one-minute baseline (eyes open/closed) and three two-minute of four Tasks.

Coexistence of 1/f and SRC in time series data for diverse human processes.

Scaling exponents from simulations with only two lag components.

HRV parameters in patients and controls*

Mean and standard deviation (SD) of time series mean, coefficient of variation (CV) and α-DFA from condition 240, condition 120 and condition 60, and corresponding intraclass...

The scaling exponent of the monthly mean temperatures at different time periods from 1909–2014 for the three stations.

Scaling exponents from simulations lag gaps.

Reliability of in-ambulance HRV parameters.

Information about DFA exponent.

In this paper we analyzed, by the FDFA root mean square fluctuation (rms) function, the motor/imaginary human activity produced by a 64-channel electroencephalography (EEG). We...

Mean and standard deviation (SD) of time series mean, coefficient of variation (CV) and α-DFA from condition 240, condition DS120 and condition DS60, and corresponding...

The clinical potential of the complexity indices in discriminating uncontrolled (n = 20) from controlled asthma (n = 10).

The clinical potential of the complexity indices in discriminating non-atopic (n = 10) from atopic asthma (n = 20).

Supplementary material includes data and Matlab functions to reproduce all figures in the manuscript and stride time data from Rhea et al. (2014). (ZIP)

The clinical potential of complexity indices combination in discriminating various types of asthma.

1/f fluctuations have been described in numerous physical and biological processes. This noise structure describes an inverse relationship between the intensity and frequency of...