Resources


Database Open Access

Brno University of Technology ECG Quality Database (BUT QDB)

Andrea Nemcova, Radovan Smisek, Kamila Opravilová, Martin Vitek, Lukas Smital, Lucie Maršánová

The database is intended for the development and objective comparison of algorithms designed to assess the quality of ECG records. It also enables objective comparison of results between authors.

Published: July 22, 2020. Version: 1.0.0

Visualize waveforms

Database Restricted Access

Kinematic dataset of actors expressing emotions

Mingming Zhang, Lu Yu, Keye Zhang, Bixuan Du, Bin Zhan, Shaohua Chen, Xiuhao Jiang, Shuai Guo, Jiafeng Zhao, Yang Wang, Bin Wang, Shenglan Liu, Wenbo Luo

1402 kinematic recordings of twenty-two semi-professional actors expressing emotions such as happiness, sadness, anger, fear, disgust, and surprise.

body movement emotion motion capture kinematic data

Published: July 7, 2020. Version: 2.1.0


Database Open Access

Multilevel Monitoring of Activity and Sleep in Healthy People

Alessio Rossi, Eleonora Da Pozzo, Dario Menicagli, Chiara Tremolanti, Corrado Priami, Alina Sirbu, David Clifton, Claudia Martini, David Morelli

Multilevel Monitoring of Activity and Sleep in Healthy people (MMASH) dataset provides 24 hours of continuous beat-to-beat heart data, triaxal accelerometer data, sleep quality, physical activity, psychological characteristics and salivary samples.

sleep physiological response melatonin cortisol circadian rhythm psychological response saliva health

Published: June 19, 2020. Version: 1.0.0


Database Open Access

Electrocardiogram, skin conductance and respiration from spider-fearful individuals watching spider video clips

Frank R Ihmig, Antonio Gogeascoechea, Sarah Schäfer, Johanna Lass-Hennemann, Tanja Michael

Dataset used for development of an algorithm for on-line anxiety level detection from biosignals.

exposure therapy psychophysiology biosignals anxiety disorders wearable sensors anxiety level detection machine learning

Published: June 5, 2020. Version: 1.0.0


Model Credentialed Access

Transformer models trained on MIMIC-III to generate synthetic patient notes

Ali Amin-Nejad, Julia Ive, Sumithra Velupillai

Machine learning models that have been trained using MIMIC-III to enable the creation of synthetic discharge summaries.

Published: May 27, 2020. Version: 1.0.0


Database Open Access

MIMIC-III Waveform Database Matched Subset

Benjamin Moody, George Moody, Mauricio Villarroel, Gari D. Clifford, Ikaro Silva

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

Published: April 7, 2020. Version: 1.0

Visualize waveforms

Database Open Access

MIMIC-III Waveform Database

Benjamin Moody, George Moody, Mauricio Villarroel, Gari D. Clifford, Ikaro Silva

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.

Published: April 7, 2020. Version: 1.0

Visualize waveforms

Database Open Access

Visceral adipose tissue measurements during pregnancy

Alexandre da Silva Rocha, Lisia von Diemen, Daniela Kretzer, Salete Matos, Juliana Rombaldi Bernardi, José Antônio Magalhães

Maternal visceral adipose tissue measurements collected as part of a cohort study of 154 pregnant women.

Published: March 23, 2020. Version: 1.0.0


Database Restricted Access

Computed Tomography Images for Intracranial Hemorrhage Detection and Segmentation

Murtadha Hssayeni

Head computed tomography (CT) scans with intracranial hemorrhage (ICH) segmentation, ICH subtypes and skull fracture.

computed tomography nifti skull fracture ich intracranial hemmorhage ct scans segmentation

Published: March 10, 2020. Version: 1.3.1


Database Credentialed Access

Phenotype Annotations for Patient Notes in the MIMIC-III Database

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

Clinical notes, annotated by at least two expert annotators for over ten patient phenotypes, including advanced cancer, substance abuse, and treatment non-adherence.

patient classification natural language processing

Published: March 5, 2020. Version: 1.20.03