MSPM: A Multi-Site Physiological Monitoring Dataset for Remote Pulse, Respiration, and Blood Pressure Estimation
Jeremy Speth, Nathan Vance, Benjamin Sporrer, Lu Niu, Patrick Flynn,, Adam Czajka

TL;DR
The MSPM dataset provides a comprehensive resource for developing and evaluating camera-based remote vital signs estimation methods across multiple body sites, supporting research on pulse, respiration, and blood pressure.
Contribution
It introduces the first multi-site physiological monitoring dataset with ground-truth measurements for remote vital signs estimation, enabling advanced research in this area.
Findings
MSPM dataset is challenging but high quality, with intra-dataset pulse rate MAE below 4 BPM.
Cross-dataset pulse rate MAE can be below 2 BPM in some cases.
High correlation between remote and contact PTT suggests potential for camera-based blood pressure estimation.
Abstract
Visible-light cameras can capture subtle physiological biomarkers without physical contact with the subject. We present the Multi-Site 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 using contacting 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 intra-dataset pulse rate mean absolute error (MAE) below 4 beats per minute (BPM), and cross-dataset pulse rate MAE…
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Taxonomy
TopicsNon-Invasive Vital Sign Monitoring · ECG Monitoring and Analysis · Heart Rate Variability and Autonomic Control
MethodsMasked autoencoder
