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

Cuff-less high-accuracy calibration-free blood pressure estimation using pulse transit time

By Mohamad Kachuee, Mohammad Mahdi Kiani, H. Mohammadzade, M. Shabany. 2015

Published in International Symposium on Circuits and Systems

Variables Table

Variable NameRoleTypeDescriptionUnitsMissing 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

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Creators

Mohamad Kachuee

Mohammad Kiani

Hoda Mohammadzade

Mahdi Shabany

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