Assessment of Non-Invasive Blood Pressure Prediction from PPG and rPPG Signals Using Deep Learning

This dataset is a subset of the MIMIC-III dataset used for non-invasive blood pressure prediction. PPG and ABP data were divided into windows of 7s length (875 data points). Systolic and diastolic blood pressure values were derived from the ABP windows. Each sample of the dataset consists of a PPG signal and blood pressure values as well as a unique subject identifier. The file consists of three datasets: PPG: PPG data of size 905,400 x 875 label: BP data of size 905,400 x 2 subject_idx: subject affiliation of each sample (size 905,400 x 1)本数据集为用于无创血压预测的MIMIC-III数据集的子集。研究者将光电容积描记（PPG, Photoplethysmography）信号与动脉血压（ABP, Arterial Blood Pressure）数据划分为时长为7秒的窗口，每个窗口包含875个数据点。从ABP窗口中可提取得到收缩压与舒张压数值。本数据集的每个样本均包含PPG信号、血压值以及唯一的受试者标识符。该数据集文件包含三个子数据集： 1. PPG：尺寸为905,400 × 875的PPG数据 2. label：尺寸为905,400 × 2的血压（BP, Blood Pressure）数据 3. subject_idx：每个样本对应的受试者归属信息，尺寸为905,400 × 1