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 …

Snoring Sound Recognition Using Multi-Channel Spectrograms

YE Ziqiang, P Jianxin, X Zhang… - Archives of Acoustics, 2024 - acoustics.ippt.gov.pl
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a common and high-risk sleep-
related breathing disorder. Snoring detection is a simple and non-invasive method. In many …

An automated snoring sound classification method based on local dual octal pattern and iterative hybrid feature selector

T Tuncer, E Akbal, S Dogan - Biomedical Signal Processing and Control, 2021 - Elsevier
In this research, a novel snoring sound classification (SSC) method is presented by
proposing a new feature generation function to yield a high classification rate. The proposed …

Snoring sound classification from respiratory signal

M Shokrollahi, S Saha, P Hadi… - 2016 38th Annual …, 2016 - ieeexplore.ieee.org
Snoring is common in the general population and the irregularity could lead to the presence
of Obstructive sleep apnea. Diagnosis of OSA could therefore be made by snoring sound …

Automatically detecting OSAHS patients based on transfer learning and model fusion

L Ding, J Peng, L Song, X Zhang - Physiological Measurement, 2024 - iopscience.iop.org
Objective. Snoring is the most typical symptom of obstructive sleep apnea hypopnea
syndrome (OSAHS) that can be used to develop a non-invasive approach for automatically …

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 …

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 …

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 …