Characterizing the NREM/REM sleep specific obstructive sleep apnea severity using snore sounds

S Akhter, UR Abeyratne… - 2017 39th Annual …, 2017 - ieeexplore.ieee.org
Obstructive Sleep Apnea (OSA) patients have frequent breathing obstructions and upper
airway (UA) collapse during sleep. It is clinically important to estimate OSA severity …

Overnight airway obstruction severity prediction centered on acoustic properties of smart phone: validation with esophageal pressure

MN Markandeya, UR Abeyratne… - Physiological …, 2020 - iopscience.iop.org
Objective: Obstructive sleep apnea is characterized by a number of airway obstructions.
Esophageal pressure manometry (EPM) based estimation of consecutive peak to trough …

Calculating AHI combine oximetery and snore sound

L Hou, C Wang, C Zhang, L Meng… - 2015 IEEE China …, 2015 - ieeexplore.ieee.org
The paper proposes the diagnosis of Sleep Apnea Hypopnea Syndrome (SAHS) only using
snore sound and SaO2 signals. The time-frequency characteristics of snore sound signal …

[PDF][PDF] Novel methods for diagnostics of obstructive sleep apnea: effect of weight loss, gender, and sleeping position on severity of apnea, hypopnea and desaturation …

T Leppänen - 2016 - dspace.uef.fi
Obstructive sleep apnea (OSA) is a common nocturnal breathing disorder characterized by
repeated partial narrowing of the upper airway (hypopnea) or complete cessations of …

[HTML][HTML] Auditory Property-Based Features and Artificial Neural Network Classifiers for the Automatic Detection of Low-Intensity Snoring/Breathing Episodes

K Hamabe, T Emoto, O Jinnouchi, N Toda, I Kawata - Applied Sciences, 2022 - mdpi.com
The definitive diagnosis of obstructive sleep apnea syndrome (OSAS) is made using an
overnight polysomnography (PSG) test. This test requires that a patient wears multiple …

Technologies in the pediatric sleep lab: present and future

T Etzioni-Friedman, G Pillar - Pediatric Sleep Medicine: Mechanisms and …, 2021 - Springer
Assessing sleep in children is challenging. While polysomnography (PSG) remains the gold
standard test in laboratory, many times it has been difficult to perform polysomnography in …

Electrocardiogram-based feature extraction for machine learning classification of obstructive sleep apnea

I Mitiche, G Morison, BG Stewart - International Journal of …, 2016 - researchonline.gcu.ac.uk
This paper introduces a new feature extraction technique based on Time Sequence
Analysis, combined with machine learning classification technique called Extreme Learning …

基于鼾声的声学特征估计睡眠呼吸暂停指数

侯丽敏, 张伟涛, 施丹, 刘焕成 - 上海大学学报(自然科学版), 2019 - journal.shu.edu.cn
睡眠呼吸暂停低通气综合征(sleep apnea hypopnea syndrome, SAHS) 是一种睡眠呼吸疾病.
提出用鼾声的声学特征对SAHS 严重程度进行筛查的方法. 提取鼾声的美频率倒谱系数(Mel …

Snore related signals processing in a private cloud computing system

K Qian, J Guo, H Xu, Z Zhu, G Zhang - … Sciences: Computational Life …, 2014 - Springer
Snore related signals (SRS) have been demonstrated to carry important information about
the obstruction site and degree in the upper airway of Obstructive Sleep Apnea-Hypopnea …

Identifying the site of upper airway collapse in obstructive sleep apnoea patients using snore signals

A Sebastian - 2021 - ses.library.usyd.edu.au
This study aimed to assess the utility of snoring signal analysis in determining the
predominant site-of-collapse of the upper airway during natural sleep in patients with …