Dataset corresponding to "Blood Pressure Morphology Assessment from Photoplethysmogram and Demographic Information Using Deep Learning with Attention Mechanism"

Aguirre, Nicolas; Grall-Maës, Edith; Cymberknop, Leandro Javier; Armentano, Ricardo Luis

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ZENODO

Dataset . 2021

License: CC BY

Data sources: Datacite

ZENODO

Dataset . 2021

License: CC BY

Data sources: ZENODO

ZENODO

Dataset . 2021

License: CC BY

Data sources: Datacite

Dataset corresponding to "Blood Pressure Morphology Assessment from Photoplethysmogram and Demographic Information Using Deep Learning with Attention Mechanism"

Research datakeyboard_double_arrow_right Dataset 11 Mar 2021 English Publisher:Zenodo

Authors: Aguirre, Nicolas; Grall-Maës, Edith; Cymberknop, Leandro Javier; Armentano, Ricardo Luis;

doi: 10.5281/zenodo.4598938 , 10.5281/zenodo.4598937

Dataset corresponding to "Blood Pressure Morphology Assessment from Photoplethysmogram and Demographic Information Using Deep Learning with Attention Mechanism"

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Abstract

A dataset containing arterial blood pressure (ABP) signals and their corresponding finger photoplestimography (PPG). This dataset is a processed version of the MIMIC-III Waveform Database Matched Subset. File names were inherited from MIMIC-III. Files are saved in ".mat" and each file contains 2 structures with raw signals and different computed characteristics. Each structure corresponds to 15-second segments sampled at 125Hz. For more details, please refer to MIMIC-III Waveform Database Matched Subset and the processing source code.

Related Organizations

National Technological University
Argentina
University of Technology of Troyes
France

Keywords

Blood Pressure , photoplethysmography, ABP, PPG

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