AIMC Topic: Snoring

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Distinguishing severe sleep apnea from habitual snoring using a neck-wearable piezoelectric sensor and deep learning: A pilot study.

Computers in biology and medicine Mar 26, 2025
This study explores the development of a deep learning model using a neck-wearable piezoelectric sensor to accurately distinguish severe sleep apnea syndrome (SAS) from habitual snoring, addressing the underdiagnosis of SAS in adults. From 2018 to 20...
Neck Sleep Apnea Syndromes Snoring Deep Learning Pilot Projects Wearable Electronic Devices Polysomnography Humans Female Aged Adult Male Middle Aged
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Implementing deep learning on edge devices for snoring detection and reduction.

Computers in biology and medicine Nov 22, 2024
This study introduces MinSnore, a novel deep learning model tailored for real-time snoring detection and reduction, specifically designed for deployment on low-configuration edge devices. By integrating MobileViTV3 blocks into the Dynamic MobileNetV3...
Deep Learning Snoring Humans Neural Networks, Computer Male
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Assessment of simulated snoring sounds with artificial intelligence for the diagnosis of obstructive sleep apnea.

Sleep medicine Nov 16, 2024
BACKGROUND: Performing simulated snoring (SS) is a commonly used method to evaluate the source of snoring in obstructive sleep apnea (OSA). SS sounds is considered as a potential biomarker for OSA. SS sounds can be easily recorded, which is a cost-ef...
Humans Female Adult Male Artificial Intelligence Machine Learning Algorithms Sound Snoring Polysomnography Middle Aged Support Vector Machine Sleep Apnea, Obstructive
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A multi-branch convolutional neural network for snoring detection based on audio.

Computer methods in biomechanics and biomedical engineering Feb 19, 2024
Obstructive sleep apnea (OSA) is associated with various health complications, and snoring is a prominent characteristic of this disorder. Therefore, the exploration of a concise and effective method for detecting snoring has consistently been a cruc...
Convolutional Neural Networks Humans Neural Networks, Computer Signal Processing, Computer-Assisted Snoring
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SLEEP-SEE-THROUGH: Explainable Deep Learning for Sleep Event Detection and Quantification From Wearable Somnography.

IEEE journal of biomedical and health informatics Jun 30, 2023
Evidence is rapidly accumulating that multifactorial nocturnal monitoring, through the coupling of wearable devices and deep learning, may be disruptive for early diagnosis and assessment of sleep disorders. In this work, optical, differential air-pr...
Deep Learning Wearable Electronic Devices Sleep Snoring Polysomnography Apnea Humans
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Detection of Snore from OSAHS Patients Based on Deep Learning.

Journal of healthcare engineering Dec 12, 2020
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is extremely harmful to the human body and may cause neurological dysfunction and endocrine dysfunction, resulting in damage to multiple organs and multiple systems throughout the body and negatively ...
Humans Deep Learning Sleep Apnea, Obstructive Snoring Polysomnography Oximetry
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Automatic snoring sounds detection from sleep sounds based on deep learning.

Physical and engineering sciences in medicine May 6, 2020
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 snoring detection algorithm for classifying snore and non-snore sound seg...
Automation Snoring ROC Curve Sleep Algorithms Humans Female Neural Networks, Computer Adult Male Middle Aged Deep Learning
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Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data.

IEEE journal of biomedical and health informatics Apr 1, 2019
One of the frontier issues that severely hamper the development of automatic snore sound classification (ASSC) associates to the lack of sufficient supervised training data. To cope with this problem, we propose a novel data augmentation approach bas...
Supervised Machine Learning Sleep Apnea, Obstructive Sound Spectrography Snoring Humans Algorithms Signal Processing, Computer-Assisted
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Objective Relationship Between Sleep Apnea and Frequency of Snoring Assessed by Machine Learning.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine Mar 15, 2019
STUDY OBJECTIVES: Snoring is perceived to be directly proportional to sleep apnea severity, especially obstructive sleep apnea (OSA), but this notion has not been thoroughly and objectively evaluated, despite its popularity in clinical practice. This...
Humans Machine Learning Middle Aged Severity of Illness Index Sleep Apnea Syndromes Sleep Apnea, Obstructive Snoring Algorithms Polysomnography Female Male
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Automated Detection of Obstructive Sleep Apnea Events from a Single-Lead Electrocardiogram Using a Convolutional Neural Network.

Journal of medical systems Apr 23, 2018
In this study, we propose a method for the automated detection of obstructive sleep apnea (OSA) from a single-lead electrocardiogram (ECG) using a convolutional neural network (CNN). A CNN model was designed with six optimized convolution layers incl...
Electrooculography Sleep Apnea, Obstructive Respiration Snoring Male Middle Aged Female Electrocardiography Image Processing, Computer-Assisted Humans Oxygen Aged Neural Networks, Computer Electroencephalography Adult
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