Resources

Wearable technology has progressed significantly, such that today's smartwatches are able to offer advanced health monitoring functions, including the electrocardiogram (ECG). This study presents a dataset that can be used to clinically assess the a…

Wearable cardiovascular monitoring aims to transition cardiovascular care from episodic clinical visits to continuous, free-living assessment. Many proposed systems use smartwatches and smart rings to capture varying combinations of photoplethysmogr…

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…

MIMIC-CXR-DB is a relational clinical database comprising 146,333 chest radiographs linked to hospital admissions, designed to support research at the intersection of electronic health records (EHRs) and chest radiography. The database integrates ho…

CardioWave-Portable is a controlled-access dataset of synchronized single-lead electrocardiography (ECG) and photoplethysmography (PPG) signals acquired with a portable card-type device and paired with cuff-based systolic and diastolic blood pressur…

We collected sleep data from 47 healthy adult volunteers with no history of sleep disorders, recruited from the local community through study advertisement flyers. The study protocol was approved by the University of Massachusetts Lowell Institution…

This project provides MIMIC-Patient, a structured, per-patient representation of the MIMIC-III database designed for large language model (LLM)–based clinical question answering. For each of 500 admissions, we reconstruct the patient’s episode into …

This dataset is an extension of the Gesture Recognition and Biometrics Electromyogram (GRABMyo) dataset, a comprehensive collection of surface electromyography (sEMG) signals from the forearm and wrist while performing static gestures, designed for …

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 …

BRSET and mBRSET are publicly available Brazilian ophthalmological datasets composed of curated retinal fundus photographs with associated clinical and demographic information. While these resources enable diverse research applications, training dee…