Resources

This dataset contains physiological signals and self-reported measures collected during a controlled stress protocol. Sixty-six healthy adults participated in standardized experimental sessions consisting of a relaxation phase followed by stress ind…

We present an extended version of the CheXmask dataset, augmenting the original anatomical segmentation masks of chest X-rays with node-wise uncertainty estimates. The dataset retains the comprehensive coverage of five public sources—ChestX-ray8, Ch…

The MIMIC-IV-Echo module contains structured echocardiographic measurements and DICOM files from echocardiography exams. Structured measurements are available from 206,488 echocardiogram studies (including 179,928 transthoracic, 16,389 stress, and 1…

This newly published dataset aims to facilitate research in atrial fibrillation (AF) detection in the intensive care unit (ICU). The ICU is a unique environment with noisy signals due to patient movement and prevalent alarms that can lead to alarm f…

This study aimed to determine the feasibility and effectiveness of wearable devices in detecting early physiological changes prior to the development of prediabetes [1-3]. The study generated digital biomarkers for remote, mHealth-based prediabetes …

This dataset provides multimodal neurophysiological and physiological recordings collected to investigate stress resilience. It comprises electroencephalography, functional near-infrared spectroscopy, electrodermal activity, blood volume pulse, inte…

The "HeartCycle" dataset offers a comprehensive collection of synchronized impedance cardiography (ICG) and echocardiography (ECHO) signals, supplemented with finger photoplethysmography (PPG), heart sounds, and electrocardiography (ECG) data from 1…

Saitama Heart Database Atrial Fibrillation (SHDB-AF) is a novel open-sourced Holter ECG database from Japan, containing data from 122 unique subjects with paroxysmal atrial fibrillation. Among the 128 recordings, 98 contain raw ECG data with rhythm …

Wearable technology has progressed significantly so that today's smartwatches are able to offer advanced health monitoring functions such as electrocardiogram (ECG). This study contains data that can be used to clinically assess the accuracy of four…

ALOTT is a pilot project that gathered telemetry data from 270 beds and over 15,000 hospital admissions from September 2018 through November 2020 at The James Cancer Hospital and Ross Heart Hospital. ALOTT contains telemetry waveforms, such as elect…