Resources

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

The database is intended for the development and objective comparison of algorithms designed to assess the quality of ECG records. It also enables objective comparison of results between authors.

Machine learning models that have been trained using MIMIC-III to enable the creation of synthetic discharge summaries.

Heart sound segmentation code, based on a duration-dependent hidden Markov model, extended with the use of logistic regression for emission probability estimation and an enhanced Viterbi algorithm.

Dataset extracted from MIMIC-II for a tutorial on effectiveness of indwelling arterial catheters in hemodynamically stable patients with respiratory failure for mortality outcomes.

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…

Annotated excerpts of ambulatory ECG recordings from 79 subjects, designed for evaluation of algorithms for analysis of ST and T-wave changes.

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?". This project provides data to explore this question.