Resources

The clinical and EEG data for this dataset originates from seven academic hospitals in the U.S. and Europe led by investigators part of the International Cardiac Arrest REsearch consortium (I-CARE).

We introduce a hierarchical annotation suite of tasks addressing clinical text understanding, reasoning and abstraction over evidence, and diagnosis summarization. One task is section tagging major section and the other task is diagnosis generation.

A subset of the MIMIC-III Clinical Database containing only patients admitted from 2001 - 2008.

The MIMIC-IV Waveform Database collects physiological signals and measurements from ICU bedside monitors. Coupled with the clinical information available in MIMIC-IV, it provides a detailed view into the physiology of critically ill patients.

Routinely collected data from critical care units at Zigong Fourth People’s Hospital, Sichuan, China for patients admitted between January 2019 and December 2020 Missing information on temperature are updated in the new version.

We provide an open access dataset of High Density Surface Electromyogram (HD-sEMG). Our dataset can be used for both hand gesture classification-based neuroprosthetic control and EMG-force regression based proportional neuroprosthetic control.

The database consists of EEG recordings of 14 epileptic patients acquired at the Unit of Neurology and Neurophysiology of the University of Siena. Subjects include 9 males (ages 25-71) and 5 females (ages 20-58).

Physiological signals (including continuous ECG, PPG, ABP, and other signals) that are associated with patients in the MIMIC-III Clinical Database.

The MIMIC-III Waveform Database contains numerous physiological signals (including continuous ECG, PPG, ABP, and other signals) and periodic measurements, recorded by bedside patient monitors from about 30,000 patients in intensive care units.