A Benchmark for Machine-Learning based Non-Invasive Blood Pressure Estimation using Photoplethysmogram

This repository provide the 4 datasets for the Benchmark for Machine-Learning based Non-Invasive Blood Pressure Estimation using Photoplethysmogram. The datasets were preprocessed and splitted using the pipeline proposed in this benchmark. One should notice that the data are provided in folds without leaking the subject information in different folds. Besides, the systolic and diastolic blood pressure distribution are kept as much as possible among different folds.