Machine learning-aided detection of heart failure (LVEF ≤ 49%) by using ballistocardiography and respiratory effort signals

Machine learning-aided detection of heart failure (LVEF ≤ 49%) by using ballistocardiography and respiratory effort signals

Purpose: Under the influence of COVID-19 and the in-hospital cost, the in-home detection of cardiovascular disease with smart sensing devices is becoming more popular recently. In the presence of the qualified signals, ballistocardiography (BCG) can not only reflect the cardiac mechanical movements,...

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Bibliographic Details
Main Authors: Shen Feng, Xianda Wu, Andong Bao, Guanyang Lin, Pengtao Sun, Huan Cen, Sinan Chen, Yuexia Liu, Wenning He, Zhiqiang Pang, Han Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Physiology
Subjects:
heart failure
ballistocardiography
respiratory
classifier
home monitoring
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2022.1068824/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2022.1068824/full

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