Published October 7, 2021
| Version v1
Dataset
Open
Assessment of Non-Invasive Blood Pressure Prediction from PPG and rPPG Signals Using Deep Learning
- 1. Laboratory for Biosignal Processing, Leipzig University of Applied Sciences
- 2. Department of Orthopaedics, Trauma and Plastic Surgery, University of Leipzig Medical Center
Description
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)
Files
Files
(31.9 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:f1b1b39fa74276a962d809084f612771
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31.9 GB | Download |
Additional details
Related works
- Is derived from
- Journal article: 10.1038/sdata.2016.35 (DOI)
- Is documented by
- Journal article: 10.3390/s21186022 (DOI)