TY - JOUR
T1 - An Open-Access Database for the Evaluation of Cardio-Mechanical Signals From Patients With Valvular Heart Diseases
AU - Yang, Chenxi
AU - Fan, Foli
AU - Aranoff, Nicole
AU - Green, Philip
AU - Li, Yuwen
AU - Liu, Chengyu
AU - Tavassolian, Negar
N1 - Publisher Copyright:
© Copyright © 2021 Yang, Fan, Aranoff, Green, Li, Liu and Tavassolian.
PY - 2021/9/30
Y1 - 2021/9/30
N2 - 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.
AB - 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.
KW - database
KW - electrocardiogram
KW - gyro-cardiogram
KW - seismo-cardiogram
KW - valvular heart disease
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U2 - 10.3389/fphys.2021.750221
DO - 10.3389/fphys.2021.750221
M3 - Article
AN - SCOPUS:85117274317
VL - 12
JO - Frontiers in Physiology
JF - Frontiers in Physiology
M1 - 750221
ER -