Automatic breath and snore sounds classification from tracheal and ambient sounds recordings
A Yadollahi, Z Moussavi - Medical engineering & physics, 2010 - Elsevier
In this study respiratory sound signals were recorded from 23 patients suspect of obstructive
sleep apnea, who were referred for the full-night sleep lab study. The sounds were recorded …
sleep apnea, who were referred for the full-night sleep lab study. The sounds were recorded …
Automatic and unsupervised snore sound extraction from respiratory sound signals
A Azarbarzin, ZMK Moussavi - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
In this paper, an automatic and unsupervised snore detection algorithm is proposed. The
respiratory sound signals of 30 patients with different levels of airway obstruction were …
respiratory sound signals of 30 patients with different levels of airway obstruction were …
Unsupervised classification of respiratory sound signal into snore/no-snore classes
A Azarbarzin, Z Moussavi - 2010 Annual International …, 2010 - ieeexplore.ieee.org
In this study, an automatic and online snore detection algorithm is proposed. The respiratory
sound signals were recorded simultaneously with Polysomnography (PSG) data during …
sound signals were recorded simultaneously with Polysomnography (PSG) data during …
Obstructive sleep apnea screening and airway structure characterization during wakefulness using tracheal breathing sounds
A Elwali, Z Moussavi - Annals of biomedical engineering, 2017 - Springer
Screening for obstructive sleep apnea (OSA) disorder during wakefulness is challenging. In
this paper, we present a set of tracheal breathing sounds characteristics with classification …
this paper, we present a set of tracheal breathing sounds characteristics with classification …
Automatic detection of obstructive sleep apnea using speech signals
E Goldshtein, A Tarasiuk, Y Zigel - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a common disorder associated with anatomical
abnormalities of the upper airways that affects 5% of the population. Acoustic parameters …
abnormalities of the upper airways that affects 5% of the population. Acoustic parameters …
Subject independent identification of breath sounds components using multiple classifiers
H Alshaer, A Pandya, TD Bradley… - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
Breath sounds have been shown very valuable for diagnosis of obstructive sleep apnea. In
this study, we present a subject independent method for automatic classification of breath …
this study, we present a subject independent method for automatic classification of breath …
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 …
Classifying respiratory sounds with different feature sets
In this study, different feature sets are used in conjunction with k-NN and artificial neural
network (ANN) classifiers to address the classification problem of respiratory sound signals …
network (ANN) classifiers to address the classification problem of respiratory sound signals …
A bag of wavelet features for snore sound classification
Snore sound (SnS) classification can support a targeted surgical approach to sleep related
breathing disorders. Using machine listening methods, we aim to find the location of …
breathing disorders. Using machine listening methods, we aim to find the location of …
Detection of breathing sounds during sleep using non-contact audio recordings
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 …
disorder breathing (SDB); a condition associated with serious cardio-vascular morbidity and …