Resources

Sleep deprivation (SD) is associated with decreased cognitive performance, but the underlying mechanisms are poorly understood. To assess the impact of SD on cerebral hemodynamics in the frontal lobe, functional near-infrared spectroscopy (fNIRS) me…

The authors used this dataset to assess the neurovascular coupling responses evoked by a cognitive paradigm with the aid of TransCranial Doppler (TCD) sonography and functional Near-InfraRed Spectroscopy (fNIRS). Fourteen healthy young individuals w…

Poincaré delay maps are widely used in the analysis of cardiac interbeat interval (RR) dynamics. To facilitate visualization of the structure of these complex time series, we introduced a methodology called multiscale Poincaré (MSP) plots.

This is a repository of MATLAB functions that can estimate transfer entropy (information flow) from one time series to another using a non-parametric partitioning algorithm.

Multiscale multifractal analysis (MMA) (Gierałtowski et al., 2012) is a time series analysis method, designed to describe scaling properties of fluctuations within the signal analyzed. The main result of this procedure is the so called Hurst surface…

Sample Entropy is a useful tool for investigating the dynamics of heart rate and other time series. Sample Entropy is the negative natural logarithm of an estimate of the conditional probability that subseries (epochs) of length m that match pointwi…

IBS is a novel method for comparing time series based on linguistic analysis of "word" frequency and rank order statistics. It has been applied successfully in a variety of applications, including analysis of interbeat (RR) intervals, classification…

SEMIA, version 3.0.1, is a tool for viewing time series of diagnostic and morphology parameters of long-term ambulatory recordings, and ST segment annotations with their corresponding ECG waveforms of the Long-Term ST Database (LTST DB). SEMIA was c…

The method of detrended fluctuation analysis has proven useful in revealing the extent of long-range correlations in time series.

Walking stride interval time series included are from 15 subjects: 5 healthy young adults (23 - 29 years old), 5 healthy old adults (71 - 77 years old), and 5 older adults (60 - 77 years old) with Parkinson's disease. The file name indicates old (o)…