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
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 below 2
BPM in certain cases. Respiration experiments find a 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 high correlation between
remote PTT and contact-measured PTT, which facilitates the possibility for
future camera-based PTT research.