Automatically detecting apnea-hypopnea snoring signal based on vgg19+ lstm

L Ding, J Peng, L Song, X Zhang - Biomedical Signal Processing and …, 2023 - Elsevier
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 …

AHI estimation of OSAHS patients based on snoring classification and fusion model

Y Song, X Sun, L Ding, J Peng, L Song… - American Journal of …, 2023 - Elsevier
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a chronic and common sleep-
breathing disease that could negatively influence lives of patients and cause serious …

Automated sleep apnea detection in snoring signal using long short-term memory neural networks

S Cheng, C Wang, K Yue, R Li, F Shen, W Shuai… - … Signal Processing and …, 2022 - Elsevier
Obstructive sleep apnea hypopnea syndrome (OSAHS) is a high incidence disease with
serious hazard and potential danger. The polysomnography (PSG) has become the gold …

Effective feature selection based on Fisher Ratio for snoring recognition using different validation methods

X Sun, J Peng, X Zhang, L Song - Applied Acoustics, 2022 - Elsevier
Snoring is an important characteristic of obstructive sleep apnea-hypopnea syndrome
(OSAHS). Snoring sound can be used to develop a non-invasive approach for automatically …

An OSAHS evaluation method based on multi-features acoustic analysis of snoring sounds

Y Jiang, J Peng, L Song - Sleep Medicine, 2021 - Elsevier
Snoring is the most direct symptom of obstructive sleep apnea hypopnea syndrome
(OSAHS) and implies a lot of information about OSAHS symptoms. This paper aimed to …

Convolutional neural network for screening of obstructive sleep apnea using snoring sounds

R Li, W Li, K Yue, Y Li - Biomedical Signal Processing and Control, 2023 - Elsevier
Screening and assessment for obstructive sleep apnea hypopnea syndrome (OSAHS) has
attracted growing attention to improve the life of patients with sleep apnea. The gold …

Automatic snoring sounds detection from sleep sounds via multi-features analysis

C Wang, J Peng, L Song, X Zhang - Australasian physical & engineering …, 2017 - Springer
Obstructive sleep apnea hypopnea syndrome (OSAHS) is a serious respiratory disorder.
Snoring is the most intuitively characteristic symptom of OSAHS. Recently, many studies …

Detection of snore from OSAHS patients based on deep learning

F Shen, S Cheng, Z Li, K Yue, W Li… - Journal of Healthcare …, 2020 - Wiley Online Library
Obstructive sleep apnea‐hypopnea syndrome (OSAHS) is extremely harmful to the human
body and may cause neurological dysfunction and endocrine dysfunction, resulting in …

Automatic snoring sounds detection from sleep sounds based on deep learning

Y Jiang, J Peng, X Zhang - Physical and engineering sciences in …, 2020 - Springer
Snoring is a typical characteristic of obstructive sleep apnea hypopnea syndrome (OSAHS)
and can be used for its diagnosis. The purpose of this paper is to develop an automatic …

Automatic classification of excitation location of snoring sounds

J Sun, X Hu, S Peng, CK Peng, Y Ma - Journal of Clinical Sleep …, 2021 - jcsm.aasm.org
Study Objectives: For surgical treatment of patients with obstructive sleep apnea-hypopnea
syndrome, it is crucial to locate accurately the obstructive sites in the upper airway; however …