Cuff-Less Blood Pressure Estimation
About
This Data set provides preprocessed and cleaned vital signals which can be used in designing algorithms for cuff-less estimation of the blood pressure.
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)
Subject Area
Health and Medicine
Instances
12,000
Features
–
Data Types
Multivariate
Tasks
Classification, Regression
Feature Types
Continuous
Features
–
Introductory Paper
Cuff-less high-accuracy calibration-free blood pressure estimation using pulse transit time
Mohamad Kachuee, Mohammad Mahdi Kiani, H. Mohammadzade, M. Shabany. 2015.
International Symposium on Circuits and Systems
Additional Metadata
Keywords
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Authors
Mohamad Kachuee
Mohammad Kiani
Hoda Mohammadzade
Mahdi Shabany
Year Created
2015
License
CC BY 4.0