Resources


Database Open Access

CPAP Pressure and Flow Data from a Local Trial of 30 Adults at the University of Canterbury

Ella Guy, Jennifer Knopp, Geoff Chase

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.

peep cpap respiratory mechanics pulmonary mechanics respiratory modelling biomedical engineering

Published: March 24, 2022. Version: 1.0.1


Database Open Access

Norwegian Endurance Athlete ECG Database

Bjørn-Jostein Singstad

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).

marquettesl12 ge cardiologist athletes electrocardiogram ecg

Published: March 23, 2022. Version: 1.0.0

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Database Restricted Access

VinDr-PCXR: An open, large-scale pediatric chest X-ray dataset for interpretation of common thoracic diseases

Hieu Huy Pham, Tien Thanh Tran, Ha Quy Nguyen

An open, large-scale pediatric chest X-ray dataset that contains both lesion-level labels and image-level labels for multiple findings and diseases for interpretation of common thoracic diseases.

Published: March 21, 2022. Version: 1.0.0


Database Restricted Access

VinDr-Mammo: A large-scale benchmark dataset for computer-aided detection and diagnosis in full-field digital mammography

Hieu Huy Pham, Hieu Nguyen Trung, Ha Quy Nguyen

A large-scale benchmark dataset for computer-aided detection and diagnosis in mammography

Published: March 21, 2022. Version: 1.0.0


Database Open Access

Pulse Transit Time PPG Dataset

Philip Mehrgardt, Matloob Khushi, Simon Poon, Anusha Withana

Time synchronised multi-site PPG dataset for PTT including sensors’ attachment pressures, temperatures, inertial data from accelerometer and gyroscope, annotated ECG data, blood pressures, as well as blood oxygenation saturation levels (SpO2)

blood pressure finger attachment pressure ptt imu spo2 gyroscope attachment force pulse transit time ppg accelerometer ecg

Published: March 18, 2022. Version: 1.1.0

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Database Open Access

Haaglanden Medisch Centrum sleep staging database

Diego Alvarez-Estevez, Roselyne Rijsman

A collection of 151 whole-night PolySomnoGraphic (PSG) sleep recordings from the Haaglanden Medisch Centrum (HMC, The Netherlands) sleep center containing different traces of ExG activity and expert's scorings of sleep stages

edf inter-database generalization sleep staging psg deep learning

Published: March 18, 2022. Version: 1.1

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Database Open Access

ECG Fragment Database for the Exploration of Dangerous Arrhythmia

Anatoly Nemirko, Liudmila Manilo, Anna Tatarinova, Boris Alekseev, Ekaterina Evdakova

Dataset derived from the MIT-BIH Malignant Ventricular Ectopy Database.

short ecg fragments dangerous arrhythmias ecg

Published: March 17, 2022. Version: 1.0.0

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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


Model Credentialed Access

EntityBERT: BERT-based Models Pretrained on MIMIC-III with or without Entity-centric Masking Strategy for the Clinical Domain

Chen Lin, Steven Bethard, Guergana Savova, Timothy Miller, Dmitriy Dligach

Pretraining of models with a broad representation of biomedical terminology (PubMedBERT) on MIMIC-III corpus along with or without a novel entity-centric masking strategy.

Published: March 17, 2022. Version: 1.0.1


Database Open Access

Eye Tracking Dataset for the 12-Lead Electrocardiogram Interpretation of Medical Practitioners and Students

Mohammed Tahri Sqalli, Dena Al-Thani, Mohamed Elshazly, Mohammed Al-Hijji

The project aims at collecting a dataset using eye-tracking technology to understand the 12-lead electrocardiogram interpretation visual behavior for medical practitioners and students with different expertise levels.

human vision medical students ecg interpretation medical image interpretation medical practice medical education human-computer interaction eye-tracking medical practitioners visual expertise electrocardiogram ecg

Published: March 16, 2022. Version: 1.0.0