Cuff-Less Blood Pressure Estimation
Donated on 7/26/2015
This Data set provides preprocessed and cleaned vital signals which can be used in designing algorithms for cuff-less estimation of the blood pressure.
Dataset Characteristics
Multivariate
Subject Area
Health and Medicine
Associated Tasks
Classification, Regression
Feature Type
Real
# Instances
12000
# Features
-
Dataset Information
Additional Information
The main goal of this data set is providing clean and valid signals for designing cuff-less blood pressure estimation algorithms. The raw electrocardiogram (ECG), photoplethysmograph (PPG), and arterial blood pressure (ABP) signals are originally collected from the physionet.org and then some preprocessing and validation performed on them. (For more information about the process please refer to our paper)
Has Missing Values?
Yes
Introductory Paper
By Mohamad Kachuee, Mohammad Mahdi Kiani, H. Mohammadzade, M. Shabany. 2015
Published in International Symposium on Circuits and Systems
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no | |||||
| no |
0 to 3 of 3
Additional Variable Information
The data set is in matlab's v7.3 mat file, accordingly it should be opened using new versions of matlab or HDF libraries in other environments.(Please refer to the Web for more information about this format) This database consist of a cell array of matrices, each cell is one record part. In each matrix each row corresponds to one signal channel: 1: PPG signal, FS=125Hz; photoplethysmograph from fingertip 2: ABP signal, FS=125Hz; invasive arterial blood pressure (mmHg) 3: ECG signal, FS=125Hz; electrocardiogram from channel II
Dataset Files
| File | Size |
|---|---|
| Part_2.mat | 928.3 MB |
| Part_4.mat | 827 MB |
| Part_1.mat | 811.9 MB |
| Part_3.mat | 685.4 MB |
| __MACOSX/._Part_1.mat | 466 Bytes |
0 to 5 of 8
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset cuff_less_blood_pressure_estimation = fetch_ucirepo(id=340) # data (as pandas dataframes) X = cuff_less_blood_pressure_estimation.data.features y = cuff_less_blood_pressure_estimation.data.targets # metadata print(cuff_less_blood_pressure_estimation.metadata) # variable information print(cuff_less_blood_pressure_estimation.variables)
Kachuee, M., Kiani, M., Mohammadzade, H., & Shabany, M. (2015). Cuff-Less Blood Pressure Estimation [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5B602.
Creators
Mohamad Kachuee
Mohammad Kiani
Hoda Mohammadzade
Mahdi Shabany
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.