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 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 …

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 …

Automatic snoring detection using a hybrid 1D–2D convolutional neural network

R Li, W Li, K Yue, R Zhang, Y Li - Scientific Reports, 2023 - nature.com
Snoring, as a prevalent symptom, seriously interferes with life quality of patients with sleep
disordered breathing only (simple snorers), patients with obstructive sleep apnea (OSA) and …

[HTML][HTML] Audio-based snore detection using deep neural networks

J Xie, X Aubert, X Long, J van Dijk, B Arsenali… - Computer Methods and …, 2021 - Elsevier
ABSTRACT Background and Objective: Snoring is a prevalent phenomenon. It may be
benign, but can also be a symptom of obstructive sleep apnea (OSA) a prevalent sleep …

Contactless sleep apnea detection in snoring signals using hybrid deep neural networks targeted for embedded hardware platform with real-time applications

X Lin, H Cheng, Y Lu, H Luo, H Li, Y Qian… - … Signal Processing and …, 2022 - Elsevier
It is estimated that 936 million adults aged 30–69 years suffer from mild to severe obstructive
sleep apnea that can result in poor sleep quality and even endanger their lives. To facilitate …

Design of embedded real-time system for snoring and OSA detection based on machine learning

H Luo, H Li, Y Lu, X Lin, L Zhou, M Wang - Measurement, 2023 - Elsevier
Obstructive sleep apnea (OSA) is a common sleep disorder. As a gold standard to detect
OSA, the polysomnography (PSG) is widely used. However, the acquisition of nighttime PSG …

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 …

Snoring and apnea detection based on hybrid neural networks

B Kang, X Dang, R Wei - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Snoring sound is an essential signal of obstructive sleep apnea (OSA). In order to detect
snoring and apnea events in sleep audio recordings, a novel hybrid neural networks based …

[PDF][PDF] Deep Learning-Based Snore Sound Analysis for the Detection of Night-time Breathing Disorders

B Dang, D Ma, S Li, Z Qi, EY Zhu - researchgate.net
Snoring, a prevalent symptom of obstructive sleep apnea, is believed to impact 57% of men
and 40% of women in the United States. Night-time breathing disorders present significant …