A non-invasive multimodal foetal ECG–Doppler dataset for antenatal cardiology research

Eleonora Sulas; Monica Urru; Roberto Tumbarello; Luigi Raffo; Reza Sameni; Danilo Pani

doi:10.1038/s41597-021-00811-3

Scientific Data (Jan 2021)

A non-invasive multimodal foetal ECG–Doppler dataset for antenatal cardiology research

Eleonora Sulas,
Monica Urru,
Roberto Tumbarello,
Luigi Raffo,
Reza Sameni,
Danilo Pani

Affiliations

Eleonora Sulas: University of Cagliari, Department of Electrical and Electronic Engineering
Monica Urru: Brotzu Hospital, Pediatric Cardiology and Congenital Heart Disease Unit
Roberto Tumbarello: Brotzu Hospital, Pediatric Cardiology and Congenital Heart Disease Unit
Luigi Raffo: University of Cagliari, Department of Electrical and Electronic Engineering
Reza Sameni: Department of Biomedical Informatics, Emory University School of Medicine
Danilo Pani: University of Cagliari, Department of Electrical and Electronic Engineering

DOI: https://doi.org/10.1038/s41597-021-00811-3
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 19

Abstract

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Measurement(s) electrocardiogram (maternal) • abdominal electrocardiogram (fetal) • Respiratory Rate • pulsed-wave Doppler (fetal heart) • heart function measurement • heart electrical impulse conduction trait Technology Type(s) electrocardiography • piezoresistive belt • pulsed doppler echocardiography Factor Type(s) gestational age Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13283492

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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