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An Open-Access Database for the Evaluation of Cardio-Mechanical Signals From Patients With Valvular Heart Diseases

This paper describes an open-access database for seismo-cardiogram (SCG) and gyro-cardiogram (GCG) signals. The archive comprises SCG and GCG recordings sourced from and processed at multiple sites worldwide, including Columbia University Medical Center and Stevens Institute of Technology in the Uni...

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Autores principales: Yang, Chenxi, Fan, Foli, Aranoff, Nicole, Green, Philip, Li, Yuwen, Liu, Chengyu, Tavassolian, Negar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519311/
https://www.ncbi.nlm.nih.gov/pubmed/34658932
http://dx.doi.org/10.3389/fphys.2021.750221
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author Yang, Chenxi
Fan, Foli
Aranoff, Nicole
Green, Philip
Li, Yuwen
Liu, Chengyu
Tavassolian, Negar
author_facet Yang, Chenxi
Fan, Foli
Aranoff, Nicole
Green, Philip
Li, Yuwen
Liu, Chengyu
Tavassolian, Negar
author_sort Yang, Chenxi
collection PubMed
description This paper describes an open-access database for seismo-cardiogram (SCG) and gyro-cardiogram (GCG) signals. The archive comprises SCG and GCG recordings sourced from and processed at multiple sites worldwide, including Columbia University Medical Center and Stevens Institute of Technology in the United States, as well as Southeast University, Nanjing Medical University, and the first affiliated hospital of Nanjing Medical University in China. It includes electrocardiogram (ECG), SCG, and GCG recordings collected from 100 patients with various conditions of valvular heart diseases such as aortic and mitral stenosis. The recordings were collected from clinical environments with the same types of wearable sensor patch. Besides the raw recordings of ECG, SCG, and GCG signals, a set of hand-corrected fiducial point annotations is provided by manually checking the results of the annotated algorithm. The database also includes relevant echocardiogram parameters associated with each subject such as ejection fraction, valve area, and mean gradient pressure.
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spelling pubmed-85193112021-10-16 An Open-Access Database for the Evaluation of Cardio-Mechanical Signals From Patients With Valvular Heart Diseases Yang, Chenxi Fan, Foli Aranoff, Nicole Green, Philip Li, Yuwen Liu, Chengyu Tavassolian, Negar Front Physiol Physiology This paper describes an open-access database for seismo-cardiogram (SCG) and gyro-cardiogram (GCG) signals. The archive comprises SCG and GCG recordings sourced from and processed at multiple sites worldwide, including Columbia University Medical Center and Stevens Institute of Technology in the United States, as well as Southeast University, Nanjing Medical University, and the first affiliated hospital of Nanjing Medical University in China. It includes electrocardiogram (ECG), SCG, and GCG recordings collected from 100 patients with various conditions of valvular heart diseases such as aortic and mitral stenosis. The recordings were collected from clinical environments with the same types of wearable sensor patch. Besides the raw recordings of ECG, SCG, and GCG signals, a set of hand-corrected fiducial point annotations is provided by manually checking the results of the annotated algorithm. The database also includes relevant echocardiogram parameters associated with each subject such as ejection fraction, valve area, and mean gradient pressure. Frontiers Media S.A. 2021-09-30 /pmc/articles/PMC8519311/ /pubmed/34658932 http://dx.doi.org/10.3389/fphys.2021.750221 Text en Copyright © 2021 Yang, Fan, Aranoff, Green, Li, Liu and Tavassolian. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Yang, Chenxi
Fan, Foli
Aranoff, Nicole
Green, Philip
Li, Yuwen
Liu, Chengyu
Tavassolian, Negar
An Open-Access Database for the Evaluation of Cardio-Mechanical Signals From Patients With Valvular Heart Diseases
title An Open-Access Database for the Evaluation of Cardio-Mechanical Signals From Patients With Valvular Heart Diseases
title_full An Open-Access Database for the Evaluation of Cardio-Mechanical Signals From Patients With Valvular Heart Diseases
title_fullStr An Open-Access Database for the Evaluation of Cardio-Mechanical Signals From Patients With Valvular Heart Diseases
title_full_unstemmed An Open-Access Database for the Evaluation of Cardio-Mechanical Signals From Patients With Valvular Heart Diseases
title_short An Open-Access Database for the Evaluation of Cardio-Mechanical Signals From Patients With Valvular Heart Diseases
title_sort open-access database for the evaluation of cardio-mechanical signals from patients with valvular heart diseases
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519311/
https://www.ncbi.nlm.nih.gov/pubmed/34658932
http://dx.doi.org/10.3389/fphys.2021.750221
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