Resources


Database Restricted Access

Electrocardiogram-Capable Smartwatches: Assessing Their Clinical Accuracy and Application

Joaquin Recas, Mauro Buelga Suárez, Sergio González-Cabeza, et al.

This database allows the study of the feasibility of using ECG-capable smartwatches as diagnostic tools, focusing on their compliance with clinical standards and their ability to measure critical ECG parameters beyond AF detection.

ischemia fitbit sense ambulatory samsung galaxy watch st-segment withings scanwatch smartwatch apple watch

Published: April 9, 2025. Version: 1.0.0

Database Restricted Access

Kingston ICU AF Dataset

Sarah Nassar, Nooshin Maghsoodi, Ziqi Chen, et al.

A dataset for atrial fibrillation detection research with 596 labelled 10-second ECGs from an ICU in Kingston, Ontario, Canada.

atrial fibrillation electrocardiography intensive care unit

Published: July 29, 2026. Version: 1.0.0

Database Credentialed Access

ODD: A Benchmark Dataset for the NLP-based Opioid Related Aberrant Behavior Detection

Sunjae Kwon, Xun Wang, Weisong Liu, et al.

Opioid-related aberrant behaviors (ORABs) detection Dataset (ODD) which is a large-size, expert-annotated, and multi-label classification benchmark dataset corresponding to the task

substance use opioid related aberrant behavior natural language processing

Published: Jan. 11, 2024. Version: 1.0.0

Database Open Access

Influence of the MHD effect on 12-lead and 3-lead ECGs recorded in 1T to 7T MRI scanners

Johannes W Krug Passand

ECG signals were acquired in various MRI scanners to enable the study of the magnetohydrodynamic (MHD) effect. The MHD effect, which is caused by an interaction of the blood flow and the MRI’s high static magnetic field, superimposes the ECG signal.

cardiac mri patient monitoring magnetohydrodynamic mri mhd ecg

Published: May 18, 2021. Version: 1.0.0

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