Detection of sleep breathing sound based on artificial neural network analysis

T Emoto, UR Abeyratne, K Kawano, T Okada… - … Signal Processing and …, 2018 - Elsevier
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is known to cause daytime
drowsiness and an association with diseases such as Type II diabetes, cardiovascular …

Artificial neural networks for breathing and snoring episode detection in sleep sounds

T Emoto, UR Abeyratne, Y Chen, I Kawata… - Physiological …, 2012 - iopscience.iop.org
Obstructive sleep apnea (OSA) is a serious disorder characterized by intermittent events of
upper airway collapse during sleep. Snoring is the most common nocturnal symptom of …

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 …

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 …

Detection of breathing sounds during sleep using non-contact audio recordings

T Rosenwein, E Dafna, A Tarasiuk… - 2014 36th Annual …, 2014 - ieeexplore.ieee.org
Evaluation of respiratory activity during sleep is essential in order to reliably diagnose sleep
disorder breathing (SDB); a condition associated with serious cardio-vascular morbidity and …

Characterization of REM/NREM sleep using breath sounds in OSA

S Akhter, UR Abeyratne, V Swarnkar - Biomedical Signal Processing and …, 2016 - Elsevier
Abstract Obstructive Sleep Apnea (OSA) is a serious sleep disorder where patient
experiences frequent upper airway collapse leading to breathing obstructions and arousals …

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 …

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 …

A new feature with the potential to detect the severity of obstructive sleep apnoea via snoring sound analysis

S Hayashi, M Tamaoka, T Tateishi, Y Murota… - International Journal of …, 2020 - mdpi.com
The severity of obstructive sleep apnoea (OSA) is diagnosed with polysomnography (PSG),
during which patients are monitored by over 20 physiological sensors overnight. These …

Diagnosis of obstructive sleep apnea using formant features of snore signals

AK Ng, TS Koh, E Baey, K Puvanendran - World Congress on Medical …, 2007 - Springer
Obstructive sleep apnea (OSA) is a sleep disordered breathing that affects about 4% of adult
men and 2% of adult women in the world. It is caused by a collapse of the upper airway …