Resources

Our popular series of challenges presented in cooperation with Computers in Cardiology continues this year in a new mode. Participants are invited to choose one of the five previous challenges as a topic for a follow-up study:

• Detecting sleep apn…

Two-channel ambulatory ECG recordings, obtained from 47 subjects studied by the BIH Arrhythmia Laboratory between 1975 and 1979.

Puka calculates descriptive statistics such as heart rate variability (HRV), peak-valley respiratory sinus arrhythmia (RSA), and respiratory variables from EKG and strain gauge respiration data.

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…

Postural sway measurements for 27 healthy young and elderly volunteers.

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…

The fifth annual PhysioNet/Computers in Cardiology Challenge focusses on this question: Is it possible to predict if (or when) an episode of atrial fibrillation will end spontaneously?

ECGs obtained from 290 subjects using a non-commercial, prototype recorder developed at Physikalisch-Technische Bundesanstalt.

The EVAL_ST tool is an open source tool to evaluate and compare performance and robustness of ST episode detection algorithms. The tool supports all standard and other relevant performance measures, aggregate gross and average statistics, and bootst…

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.