Snoring sound classification in patients with cerebrovascular stenosis based on an improved ConvNeXt model

The proposed method demonstrates excellent performance in snoring classification and provides preliminary evidence for exploring acoustic features associated with cerebrovascular stenosis.

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Publication Details

Journal
Frontiers in Physiology
Published
2025-11-26
DOI
https://doi.org/10.3389/fphys.2025.1661258
Primary Topic
Phonocardiography and Auscultation Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Snoring sound classification in patients with cerebrovascular stenosis based on an improved ConvNeXt model

Xia Zhou, Liuying Li, Zhihui Liu, Caijian Hua et al.
Frontiers in Physiology
Phonocardiography and Auscultation Techniques
article

Snoring sound classification in patients with cerebrovascular stenosis based on an improved ConvNeXt model

Xia Zhou, Liuying Li, Zhihui Liu, Caijian Hua, C. Xiang
article en

Abstract

The proposed method demonstrates excellent performance in snoring classification and provides preliminary evidence for exploring acoustic features associated with cerebrovascular stenosis.

Frontiers in PhysiologyVol. 16
Zigong First People's Hospital (CN), Sichuan University of Science and Engineering (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 45%
Phonocardiography and Auscultation Techniques
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