Resources

Software for calculating multifractal partitions and moments of a time series.

In its June 2008 issue, the editors of Chaos announced a new feature, "Controversial Topics in Nonlinear Dynamics". The first controversial topic to be aired is "Is the Normal Heart Rate Chaotic?". Since major impediments to achieving consensus on t…

Analysis of biomedical time series plays a key role in clinical management and basic investigation. However, most conventional monitors streaming data in real-time show only the most recent values, not referenced to past dynamics. The proposed visua…

We present a temporal benchmark dataset for clinical respiratory intervention tasks in intensive care unit (ICU) patients, derived from the MIMIC-IV v2.2 dataset. The data consists of 50,920 adult ICU patients and includes 90-day hourly ventilation …

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…

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…

In modern anesthesia, multiple medical devices are used simultaneously to comprehensively monitor real-time vital signs to optimize patient care and improve surgical outcomes. However, interpreting the dynamic changes of time-series biosignals and t…

The method of generalized multiscale entropy (GMSE) analysis is useful for investigating complexity in physiologic signals and other series that have correlations at multiple (time) scales. It represents a generalization of the original method of mu…

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

The method of multiscale entropy (MSE) analysis is useful for investigating complexity in physiologic signals and other series that have correlations at multiple (time) scales.