MSPM: A Multisite Physiological Monitoring Dataset for Remote Pulse, Respiration, and Blood Pressure Estimation
Jeremy Speth, Nathan Vance, Benjamin Sporrer, Lu Niu, Patrick J. Flynn, Adam Czajka
Abstract
Visible-light cameras can capture subtle physiological biomarkers without physical contact with the subject. We present the multisite physiological monitoring (MSPM) dataset, which is the first dataset collected to support the study of simultaneous camera-based vital signs estimation from multiple locations on the body. MSPM enables research on remote photoplethysmography (rPPG), respiration rate, and pulse transit time (PTT); it contains ground-truth measurements of pulse oximetry (at multiple body locations) and blood pressure (BP) using contact sensors. We provide thorough experiments demonstrating the suitability of MSPM to support research on rPPG, respiration rate, and PTT. Cross-dataset rPPG experiments reveal that MSPM is a challenging, yet high-quality dataset, with intradataset pulse rate mean absolute error (MAE) below 4 beats per minute (BPM) and cross-dataset pulse rate MAE below 2 BPM in certain cases. Baseline methods for respiratory rate estimation achieve an MAE of 1.09 breaths per minute by extracting motion features from the chest. PTT experiments find that across the pairs of different body sites, there is a high correlation between remote PTT and contact-measured PTT, which facilitates the possibility of future camera-based PTT research.