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Can machine learning assist locating the excitation of snore sound? A review
In the past three decades, snoring (affecting more than 30% adults of the UK population) has
been increasingly studied in the transdisciplinary research community involving medicine …
been increasingly studied in the transdisciplinary research community involving medicine …
Automatic snoring detection using a hybrid 1D–2D convolutional neural network
R Li, W Li, K Yue, R Zhang, Y Li - Scientific Reports, 2023 - nature.com
Snoring, as a prevalent symptom, seriously interferes with life quality of patients with sleep
disordered breathing only (simple snorers), patients with obstructive sleep apnea (OSA) and …
disordered breathing only (simple snorers), patients with obstructive sleep apnea (OSA) and …
Classification of the excitation location of snore sounds in the upper airway by acoustic multifeature analysis
Objective: Obstructive sleep apnea (OSA) is a serious chronic disease and a risk factor for
cardiovascular diseases. Snoring is a typical symptom of OSA patients. Knowledge of the …
cardiovascular diseases. Snoring is a typical symptom of OSA patients. Knowledge of the …
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 …
and can be used for its diagnosis. The purpose of this paper is to develop an automatic …
Snoring classified: the Munich-Passau snore sound corpus
Objective Snoring can be excited in different locations within the upper airways during sleep.
It was hypothesised that the excitation locations are correlated with distinct acoustic …
It was hypothesised that the excitation locations are correlated with distinct acoustic …
Audio classification using braided convolutional neural networks
Convolutional neural networks (CNNs) work surprisingly well and have helped drastically
enhance the state‐of‐the‐art techniques in the domain of image classification. The …
enhance the state‐of‐the‐art techniques in the domain of image classification. The …
A novel enhancement approach following MVMD and NMF separation of complex snoring signals
Snoring is a prominent characteristic of sleep-disordered breathing, and its detection is
critical for determining the severity of the upper airway obstruction and improving daily …
critical for determining the severity of the upper airway obstruction and improving daily …
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 …
OSA, the polysomnography (PSG) is widely used. However, the acquisition of nighttime PSG …
A bag-of-audio-words approach for snore sounds' excitation localisation
Habitual snoring and Obstructive Sleep Apnea are serious conditions that can affect the
health of the snorer. For a targeted surgical treatment, it is crucial to identify the exact …
health of the snorer. For a targeted surgical treatment, it is crucial to identify the exact …
Improving snore detection under limited dataset through harmonic/percussive source separation and convolutional neural networks
Snoring, an acoustic biomarker commonly observed in individuals with Obstructive Sleep
Apnoea Syndrome (OSAS), holds significant potential for diagnosing and monitoring this …
Apnoea Syndrome (OSAS), holds significant potential for diagnosing and monitoring this …