Resources


Database Open Access

A Pressure Map Dataset for In-bed Posture Classification

In this project, we collected in-bed posture pressure data from multiple adult participants using two different types of pressure sensing mats. To the best of our knowledge, our dataset, PmatData is the first publicly-available dataset of pressure s…

sleep posture gait pressure

Published: Sept. 28, 2017. Version: 1.0.0

Challenge Open Access

Classification of Heart Sound Recordings - The PhysioNet Computing in Cardiology Challenge 2016

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…

sound phonocardiogram challenge heart

Published: March 4, 2016. Version: 1.0.0

Software Open Access

Information-Based Similarity

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, clas…

interbeat rr interval complexity

Published: Oct. 26, 2004. Version: 1.0.0

Database Credentialed Access

Phenotype Annotations for Patient Notes in the MIMIC-III Database

Edward Moseley, Leo Anthony Celi, Joy Wu, Franck Dernoncourt

This dataset contains clinical notes which have been annotated by at least two expert human annotators for over ten high-context patient phenotypes, including advanced/metastatic cancer, substance abuse, and treatment non-adherence.

natural language processing patient classification

Published: March 5, 2020. Version: 1.20.03

Challenge Open Access

Classification of 12-lead ECGs: the PhysioNet - Computing in Cardiology Challenge 2020

Erick Andres Perez Alday, Amit Shah, Chengyu Liu, Ashish Sharma, Salman Seyedi, Ali Bahrami Rad, Matthew Reyna, Gari Clifford

The goal of the 2020 PhysioNet - Computing in Cardiology Challenge is to design and implement a working, open-source algorithm that can automatically identify cardiac abnormalities in 12-lead ECG recordings.

Published: Feb. 16, 2020. Version: 1.0.0

Challenge Open Access

AF Classification from a Short Single Lead ECG Recording - The PhysioNet Computing in Cardiology Challenge 2017

The 2017 PhysioNet/CinC Challenge aims to encourage the development of algorithms to classify, from a single short ECG lead recording (between 30 s and 60 s in length), whether the recording shows normal sinus rhythm, atrial fibrillation (AF), an al…

Published: Feb. 1, 2017. Version: 1.0.0

Software Open Access

Logistic Regression-HSMM-based Heart Sound Segmentation

David Springer

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.

Published: July 29, 2019. Version: 1.0