Resources


Database Credentialed Access

Eye Gaze Data for Chest X-rays

Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy Wu, Matthew Tong, Arjun Sharma, Shafiq Abedin, David Beymer, Vandana Mukherjee, Elizabeth Krupinski, Mehdi Moradi

This dataset was a collected using an eye tracking system while a radiologist interpreted and read 1,083 public CXR images. The dataset contains the following aligned modalities: image, transcribed report text, dictation audio and eye gaze data.

audio convolutional network heatmap multimodal chest x-ray radiology eye tracking machine learning cxr explainability chest deep learning

Published: Sept. 12, 2020. Version: 1.0.0

Database Open Access

A Pressure Map Dataset for In-bed Posture Classification

Pressure sensor data captured from 13 participants in various sleeping postures.

pressure sleep posture gait

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…

heart sound challenge phonocardiogram

Published: March 4, 2016. Version: 1.0.0

Database Open Access

Wide-field calcium imaging sleep state database

Eric Landsness, Xiaohui Zhang, Wei Chen, Hanyang Miao, Michelle Tang, Lindsey Brier, Mark Anastasio, Jin-Moo Lee, Joseph Culver

Wide-field calcium imaging database that consists of annotated sleep recording collected from transgenic mice at Washington University of St Louis School of Medicine.

sleep machine learning wide-field calcium imaging sleep state classification sleep staging

Published: March 17, 2022. Version: 1.0.1

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…

challenge atrial fibrillation ecg

Published: Feb. 1, 2017. Version: 1.0.0

Database Restricted Access

KURIAS-ECG: a 12-lead electrocardiogram database with standardized diagnosis ontology

Hakje Yoo, Yunjin Yum, Soowan Park, Jeong Moon Lee, Moonjoung Jang, Yoojoong Kim, Jong-Ho Kim, Hyun-Joon Park, Kap Su Han, Jae Hyoung Park, Hyung Joon Joo

The KURIAS-ECG database is a high-quality 12-lead ECG DB including standard vocabulary (SNOMED CT, OMOP-CDM), and ECG diagnoses of our DB are grouped into 10 diagnoses by applying the minnesota code.

snomed 12-lead minnesota ecg

Published: Nov. 8, 2021. Version: 1.0

Database Restricted Access

Multitaper spectra recorded during GABAergic anesthetic unconsciousness

John Abel, Marcus Badgeley, Benyamin Meschede-Krasa, Gabe Schamberg, Indie Garwood, Kimaya Lecamwasam, Sourish Chakravarty, David Zhou, Matt Keating, Patrick Purdon, Emery Brown

EEG power spectra recorded during anesthesia

eeg electroencephalography unconsciousness anesthesia

Published: April 19, 2021. 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

VinDr-CXR: An open dataset of chest X-rays with radiologist annotations

Ha Quy Nguyen, Hieu Huy Pham, le tuan linh, Minh Dao, lam khanh

VinDr-CXR: An open dataset of chest X-rays with radiologist's annotations

computer vision lesion detection disease classification chest x-ray interpretation deep learning

Published: June 22, 2021. Version: 1.0.0

Challenge Open Access

Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021

Matthew Reyna, Nadi Sadr, Annie Gu, Erick Andres Perez Alday, Chengyu Liu, Salman Seyedi, Amit Shah, Gari D. Clifford

Will Two Do? Varying Dimensions in Electrocardiography: the PhysioNet/Computing in Cardiology Challenge 2021

challenge classification multilead ecgs competition cardiac abnormalities

Published: Feb. 25, 2021. Version: 1.0.2