Resources

Cuffless blood pressure data repository that includes raw time data for 4-channel Bioimpedance signals using Graphene Tattoos from the wrist with synchronized continuous blood pressure and PPG signals from 7 subjects

The data contains electrodermal activity, heart rate, blood volume pulse, skin surface temperature, inter beat interval and accelerometer data recorded during three exam sessions (midterm 1, midterm 2 and finals) as well as their corresponding grades

The new version added beta blockers in the dat_md.csv file. Dataset comprising hospital-level data on patients who were admitted with heart failure to Zigong Fourth People’s Hospital, Sichuan, China between 2016 and 2019.

A large collection of multi-location heart sound signals, with 5272 records collected from 1568 subjects. Heart murmurs have been annotated by a human annotator based on their time, shape, pitch, grading, quality, location and location intensity.

DrugEHRQA is a QA dataset containing question-answers from MIMIC-III tables and discharge summaries.

This is a dataset of continuous raw electrocardiogram (ECG) signals for representation learning containing 11 thousand patients and 2 billion labelled beats.

RuMedNLI is the full counterpart dataset of MedNLI in Russian language.

A data collection contains a wearable-based electrocardiogram and triaxial acceleration signals of 80 elderly patients with frailty after an open-heart surgery. The signals were collected while the patients were performing a series of exercise tests.

A pressure and flow dataset was collected from a trial of 30 adults at the University of Canterbury undergoing CPAP therapy for a variety of instructed breath rates at PEEP levels of 4cmH2O and 7cmH2O.

This project contains 28 ECGs from 28 healthy elite athletes. The ECGs have been interpreted by the Marquette SL12 (version 23) algorithm and a Cardiologist using the International Criteria for ECG interpretation (2018).