Leveraging Synchrosqueezing Transform (SST)-based representations in a dual-stream attention framework to enhance sleep apnea detection and subtyping

IntroductionSleep apnea and hypopnea syndrome (SAHS) is a prevalent disorder with profound adverse effects on health and overall quality of life, thereby necessitating the development of accurate and accessible screening tools. Electrocardiogram (ECG)-based analysis, being non-invasive and readily d...

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Bibliografske podrobnosti

Principais autores:	Tianci Zhao, Cong Fu, Yang Li, Wei Chen, Huan Yu
Format:	Artigo
Jezik:	Inglês
Izdano:	Frontiers Media S.A. 2026-05-01
Serija:	Frontiers in Neuroscience
Teme:	biomedical signal processing computer aided diagnosis deep learning sleep apnea detection time frequency analysis
Online dostop:	https://www.frontiersin.org/articles/10.3389/fnins.2026.1853573/full
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