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.

可见光相机能够捕捉到微妙的生理生物标志物，无需与被试物理接触。我们提出了多站点生理监测（MSPM）数据集，这是第一个支持从人体多个位置同时基于相机进行重要生命体征估计的数据集。MSPM 允许研究远程光电容抗图，呼吸频率和脉冲传递时间（PTT）；它包含使用接触传感器进行脉搏氧合指数（在多个体部位）和血压的地面真值测量。我们提供了详尽的实验证明 MSPM 适用于支持 rPPG，呼吸频率和 PTT 的研究。交叉数据集 rPPG 实验表明 MSPM 是一个具有挑战性但高质量的数据集，在某些情况下，数据集内部心率平均绝对误差为 4 次 / 分钟以下，跨数据集心率平均绝对误差为 2 次 / 分钟以下。呼吸实验通过从胸部提取动作特征找到 1.09 次 / 分钟的平均绝对误差。 PTT 实验发现，在不同体部位的配对中，远程 PTT 与接触测量的 PTT 之间存在高相关性，这为未来基于相机的 PTT 研究提供了可能性。