Obstructive Sleep Apnea Classification Using Snore Sounds Based on Deep Learning

A Sillaparaya, A Bhatranand… - 2022 Asia-Pacific …, 2022 - ieeexplore.ieee.org
Early screening for the Obstructive Sleep Apnea (OSA), especially the first grade of Apnea-
Hypopnea Index (AHI), can reduce risk and improve the effectiveness of timely treatment …

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 …

Obstructive sleep apnea detection based on sleep sounds via deep learning

B Wang, X Tang, H Ai, Y Li, W Xu… - Nature and Science of …, 2022 - Taylor & Francis
Purpose This study aimed to propose a novel deep-learning method for automatic sleep
apneic event detection and thus to estimate the apnea hypopnea index (AHI) and identify …

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 …

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 …

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 …

Convolutional neural network-based obstructive sleep apnea identification

Q Dong, Y Jiraraksopakun… - 2021 IEEE 6th …, 2021 - ieeexplore.ieee.org
Obstructive Sleep Apnea (OSA) identification aims to recognize the sounds from the
obstructive sleep apneahypopnea syndrome (OSANHS) patients. Despite remarkable …

A novel deep feature transfer-based OSA detection method using sleep sound signals

J Luo, H Liu, X Gao, B Wang, X Zhu, Y Shi… - Physiological …, 2020 - iopscience.iop.org
Objective: Polysomnography is typically used to evaluate the severity of obstructive sleep
apnea (OSA) but the inconvenience of application and high cost considerably affect the …

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 …

An efficient deep model for children sleep apnea detection using snoring signals

Z Liang, Y Zhou, L Ding, X Chen - … of the 3rd International Symposium on …, 2022 - dl.acm.org
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a risky disorder that has negative
effects on individuals' sleep or health. Snoring signals are widely accepted as a reliable and …