Automatically detecting apnea-hypopnea snoring signal based on VGG19 + LSTM

Snoring is a typical syndrome of obstructive sleep apnea hypopnea syndrome (OSAHS). The acoustic analysis of snoring sound has been proved potential to develop a non-invasive approach for assisting diagnose OSAHS. In this work, a pre-trained VGG19 and the long short-term memory (LSTM) fused model wa...

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Bibliographic Details

Published in:	Biomedical signal processing and control Vol. 80; p. 104351
Main Authors:	Ding, Li, Peng, Jianxin, Song, Lijuan, Zhang, Xiaowen
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2023
Subjects:	LSTM Obstructive sleep apnea hypopnea syndrome Snoring sounds Transfer learning VGG19 Obstructive sleep apnea hypopnea syndrome LSTM VGG19 Snoring sounds Transfer learning
ISSN:	1746-8094, 1746-8108
Online Access:	Get full text
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