Resources

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…

Patient’s unique information needs about their hospitalization can be addressed using clinical evidence from electronic health records (EHRs) and artificial intelligence (AI). However, robust datasets to assess the factuality and relevance of AI-gen…

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…

The analysis and identification of abnormal ventricular potentials (AVPs) in intracardiac electrograms (EGMs) are paramount in radiofrequency catheter ablation (RFCA) of post-ischemic ventricular tachycardia (VT). The ARGO dataset represents the fir…

Gait is a fundamental motor function, and its analysis is essential for understanding locomotor control, rehabilitation, and the early detection of neurological and musculoskeletal disorders. While many datasets capture either biomechanical or neura…

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 Antibiotic Resistance Microbiology Dataset – MGB (ARMD-MGB) is a de-identified resource derived from electronic health records (EHR) that facilitates research in antimicrobial resistance (AMR). ARMD-MGB encompasses data collected from over 225,0…

Breast cancer is one of the most common types of cancer among women, leading to a growing and essential need for early and precise detection. A variety of machine learning techniques have been demonstrating great promise in improving diagnostic accu…

We present a temporal benchmark dataset for clinical respiratory intervention tasks in intensive care unit (ICU) patients, derived from the MIMIC-IV v2.2 dataset. The data consists of 50,920 adult ICU patients and includes 90-day hourly ventilation …

Maintaining a healthy population is essential for improving quality of life and overall societal well-being. One approach to achieving a healthy population is by improving patients' care pathways. This is particularly vital for patients with multipl…