AIMC Topic: Snoring

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Detection of sleep disordered breathing severity using acoustic biomarker and machine learning techniques.

Biomedical engineering online Feb 1, 2018
PURPOSE: Breathing sounds during sleep are altered and characterized by various acoustic specificities in patients with sleep disordered breathing (SDB). This study aimed to identify acoustic biomarkers indicative of the severity of SDB by analyzing ...
Middle Aged Adolescent Adult Male Sleep Apnea Syndromes Acoustics Sleep Child Body Mass Index Machine Learning Biomarkers Aged Young Adult Female Humans Snoring Polysomnography
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Nasal Dilators (Breathe Right Strips and NoZovent) for Snoring and OSA: A Systematic Review and Meta-Analysis.

Pulmonary medicine Dec 13, 2016
. To systematically review the international literature for studies evaluating internal (NoZovent) and external (Breathe Right Strips) nasal dilators as treatment for obstructive sleep apnea (OSA). . Systematic review with meta-analysis. . Four datab...
Equipment Design Airway Management Treatment Outcome Clinical Trials as Topic Sleep Apnea, Obstructive Snoring Dilatation Humans Severity of Illness Index
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Support vector machines for automated snoring detection: proof-of-concept.

Sleep & breathing = Schlaf & Atmung Jul 13, 2016
BACKGROUND: Snoring has been shown to be associated with adverse physical and mental health, independent of the effects of sleep disordered breathing. Despite increasing evidence for the risks of snoring, few studies on sleep and health include objec...
Risk Factors Adult Diagnosis, Computer-Assisted Cohort Studies Polysomnography Proof of Concept Study Middle Aged Snoring Humans United States Female Support Vector Machine
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[VOTE versus ACLTE: comparison of two snoring noise classifications using machine learning methods].

HNO Sep 1, 2019
BACKGROUND: Acoustic snoring sound analysis is a noninvasive method for diagnosis of the mechanical mechanisms causing snoring that can be performed during natural sleep. The objective of this work is development and evaluation of classification sche...
Humans Sleep Apnea Syndromes Sound Spectrography Snoring Machine Learning Noise
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SnoreNet: Detecting Snore Events from Raw Sound Recordings.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Snoring is one of the earliest symptoms of Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS). Snore detection is the first step in developing non-invasive, low-cost, and totally sound-based OSAHS analysis approaches. In this work, we propose a simple...
Sleep Apnea, Obstructive Humans Sound Snoring Neural Networks, Computer
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Snoring - An Acoustic Definition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Objective- The distinction of snoring and loud breathing is often subjective and lies in the ear of the beholder. The aim of this study is to identify and assess acoustic features with a high suitability to distinguish these two classes of sound, in ...
Snoring Acoustics Sound Humans Support Vector Machine
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Assessment of support vector machines and convolutional neural networks to detect snoring using Emfit mattress.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2017
Snoring (SN) is an essential feature of sleep breathing disorders, such as obstructive sleep apnea (OSA). In this study, we evaluate epoch-based snoring detection methods using an unobtrusive electromechanical film transducer (Emfit) mattress sensor ...
Beds Snoring Polysomnography Humans Support Vector Machine Neural Networks, Computer Sleep Apnea, Obstructive
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Sleep snoring detection using multi-layer neural networks.

Bio-medical materials and engineering Jan 1, 2015
Snoring detection is important for diagnosing obstructive sleep apnea syndrome (OSAS) and other respiratory sleep disorders. In general, audio signal processing such as snoring sound analysis uses the frequency characteristics of the signal. Recently...
Machine Learning Algorithms Snoring Humans Auscultation Diagnosis, Computer-Assisted Neural Networks, Computer Sleep Apnea, Obstructive Reproducibility of Results Pattern Recognition, Automated Sensitivity and Specificity
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