A Dataset of Arterial Pulse Pressure Waveforms from Wearable Cardiovascular Monitoring Sensors

Solving continuous non-invasive blood pressure monitoring with wearable sensors has the potential to reform hypertension diagnosis and management. This approach has proven to be non-trivial and many cardiovascular sensing modalities have fallen short of accomplishing the task. This dataset consists of synchronized data from a reference blood pressure device along with several wearable sensor types: PPG, applanation tonometry, and millimeter-wave radar. Data collection was conducted under set protocol with subjects at rest. 115 study subjects were included (age range 20-67 years), resulting in over 19 hours of data acquired. Potential uses include assessing wearable sensor signal quality and morphology, testing new hypotheses, or extracting cardiovascular health monitoring metrics.