Application of spectral characteristics of electrocardiogram signals in sleep apnea

Application of spectral characteristics of electrocardiogram signals in sleep apnea

BackgroundElectrocardiogram (ECG) signals contain cardiopulmonary information that can facilitate sleep apnea detection. Traditional methods rely on extracting numerous ECG features, which is labor-intensive and computationally cumbersome.MethodsTo reduce feature complexity and enhance detection acc...

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Bibliographic Details
Main Authors: Jiayue Hu, Liu Yang, Xintong Zhao, Haicheng Wei, Jing Zhao, Miaomiao Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
sleep apnea
EEMD-ICA
spectrum features
IMF
random Forest
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2025.1636011/full
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