Enhancing sleep stage classification with ballistocardiogram signals: feature selection using attention mechanism and XGBoost

Enhancing sleep stage classification with ballistocardiogram signals: feature selection using attention mechanism and XGBoost

Traditional sleep staging using contact sensors may compromise data validity. This study proposes a non-contact ballistocardiogram (BCG)-based method to improve both accuracy and comfort in sleep monitoring. BCG signals were processed using continuous wavelet transform and low-pass filtering to extr...

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Bibliographic Details
Main Authors: Chao Luo, Banteng Liu, Jiayu Chai, Zhijian Teng
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Public Health
Subjects:
sleep staging
ballistocardiogram (BCG)
heart rate variability (HRV)
respiratory rate variability (RRV)
XGBoost
feature selection
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1608725/full
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