Resources

The 2016 PhysioNet/CinC Challenge aims to encourage the development of algorithms to classify heart sound recordings collected from a variety of clinical or nonclinical (such as in-home visits) environments. The aim is to identify, from a single sho…

This database contains uterine magnetomyographic (MMG) signals recorded using the 151 channel SARA (SQUID Array for Reproductive Assessment) system installed at UAMS, Little Rock, USA. Recordings are taken from 25 subjects who presented themselves i…

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.

A collection of physiological signals in ten healthy subjects in response to a slow tilt, a fast tilt, and a standing-up maneuver.

Short duration ECG signals are recorded from a healthy 25-year-old male performing different physical activities to study the effect of motion artifacts on ECG signals and their sparsity.

The project collects a series of 26 fetal phonocardiographic (PCG) signals from different pregnant women during the last months of their singleton physiological pregnancies (gestational week between 31 and 40).

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…

This toolbox is a collection of Matlab tools that Mariano Llamedo Soria used, adapted or developed during his PhD and post-doc work with the Besicos group at University of Zaragoza, Spain and at the National Technological University of Buenos Aires,…

In finding an optimal stimulus waveform for inducing switches in neuronal states, analytical techniques from optimal control theory are often found to be difficult to use or extremely time intensive. Here, we present the code for a gradient-based al…

The SHAREE database was developed in order to investigate the possibility to identify hypertensive subjects at higher risk to develop vascular events based on Heart Rate Variability analysis. The research material in the SHAREE database included nom…