Resources

This project contains electrocardiogram, skin conductance and respiration as raw data (unfiltered, unprocessed) recorded from consented, spider-fearful individuals using the wearable BITalino biosignal measurement device (PLUX – Wireless Biosignals …

This dataset was collected as part of a study on investigating the sources of inaccuracy in wearable optical heart rate sensors across a variety of activities (sitting, deep breathing, walking, and typing). The original study examined covariates inc…

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…

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…

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…

Parkinson’s disease (PD) is the second-most common neurodegenerative disorder, while incidence and worldwide burden are further increasing. In the era of digital health transformation, smart devices and mobile sensors, including smartphones and smar…