Resources


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 Credentialed Access

NCH Sleep DataBank: A Large Collection of Real-world Pediatric Sleep Studies with Longitudinal Clinical Data

Harlin Lee, Boyue Li, Yungui Huang, Yuejie Chi, Simon Lin

The NCH Sleep DataBank includes 3,984 pediatric sleep studies on 3,673 unique patients conducted at Nationwide Children's Hospital between 2017 and 2019. It contains polysomnography (PSG), clinical annotations, and longitudinal clinical data.

eeg ehr polysomnography pediatrics clinical decision support sleep disorders sleep study electronic health records ecg

Published: Oct. 27, 2021. Version: 3.1.0

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Database Open Access

Lobachevsky University Electrocardiography Database

Alena Kalyakulina, Igor Yusipov, Viktor Moskalenko, Alexander Nikolskiy, Konstantin Kosonogov, Nikolai Zolotykh, Mikhail Ivanchenko

ECG signal database that consists of 200 10-second 12-lead records. The boundaries and peaks of P, T waves and QRS complexes were manually annotated by cardiologists. Each record is annotated with the corresponding diagnosis.

diagnosis electrocardiography delineation open database database ecg

Published: Jan. 19, 2021. Version: 1.0.1

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Database Restricted Access

Hospitalized patients with heart failure: integrating electronic healthcare records and external outcome data

Zhongheng Zhang, Linghong Cao, Yan Zhao, Ziyin Xu, Rangui Chen, Lukai Lv, Ping Xu

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.

heart failure china electronic health record

Published: May 22, 2022. Version: 1.3

Database Open Access

Apnea-ECG Database

Seventy ECG signals with expert-labelled apnea annotations and machine-generated QRS annotations.

apnea sleep multiparameter challenge ecg

Published: Feb. 10, 2000. Version: 1.0.0

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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 Credentialed Access

MIMIC-III - SequenceExamples for TensorFlow modeling

Jonas Kemp, Kun Zhang, Andrew Dai

MIMIC-III data converted into TensorFlow SequenceExample format, for use in modeling pipelines.

tensorflow sequence modeling machine learning deep learning

Published: Sept. 29, 2020. Version: 1.0.0

Database Open Access

Term-Preterm EHG Database

Electrohysterogram records during regular check-ups at the University Medical Centre Ljubljana between 1997 and 2005.

obstetrics gestation neuroelectric electrohysterogram

Published: Aug. 21, 2012. Version: 1.0.1

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Database Credentialed Access

DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries

Jayetri Bardhan, Anthony Colas, Kirk Roberts, Daisy Zhe Wang

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

question-answer qa

Published: April 12, 2022. Version: 1.0.0

Database Credentialed Access

Learning to Ask Like a Physician: a Discharge Summary Clinical Questions (DiSCQ) Dataset

Eric Lehman

Dataset of questions asked by medical experts about patients. Medical experts will read a discharge summary line-by-line and (1) ask any question that they may have and (2) record what in the text "triggered" them to ask their question.

machine learning question answering question generation

Published: July 28, 2022. Version: 1.0