scholarly journals Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multifeature Analysis

2017 ◽  
Vol 64 (8) ◽  
pp. 1731-1741 ◽  
Author(s):  
Kun Qian ◽  
Christoph Janott ◽  
Vedhas Pandit ◽  
Zixing Zhang ◽  
Clemens Heiser ◽  
...  
Keyword(s):  
Upper Airway ◽  
Snore Sounds

Spectral Classification of Oral and Nasal Snoring Sounds Using a Support Vector Machine

2013 ◽  
Vol 17 (4) ◽  
pp. 611-621 ◽  
Author(s):  
Tsuyoshi Mikami ◽  
◽  
Yohichiro Kojima ◽  
Kazuya Yonezawa ◽  
Masahito Yamamoto ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Upper Airway ◽  
Kernel Functions ◽  
Support Vector ◽  
Svm Classifier ◽  
Spectral Classification ◽  
Simple Method ◽  
Oral Breathing ◽  
Sleep Condition

Since oral breathing during sleep tends to make the upper airway more collapsible, loud snoring caused by oral breathing is found in many sleep apnea/hypopnea patients and should be detected in the earlier stage. But unfortunately we cannot know our own sleep condition or snoring. Thus, a simple method that can detect oral snoring makes it possible to become a useful technique to develop a home medical device. For such purpose, we adopt a Support Vector Machine (SVM) classifier so as to classify oral and nasal snoring sounds based on the spectral properties. Fifteen subjects are asked to simulate snoring with oral and nasal breath respectively and the sounds are recorded with a linear sound recorder. We adopted seven kernel functions (linear, polynomial, sigmoid, Gaussian, Laplacian, chisquare, and Kullback-Leibler) for SVM-based spectral classification. As a result, over 95% of snoring sounds are successfully classified under the various cross validation test.

scholarly journals Diagnosis and treatment of sleep disorders: a brief review for clinicians

2003 ◽  
Vol 5 (4) ◽  
pp. 371-388 ◽  
Keyword(s):  
Sleep Disorders ◽  
Wide Spectrum ◽  
Diagnostic Testing ◽  
Upper Airway ◽  
Light Therapy ◽  
Diagnosis And Treatment ◽  
Upper Airway Resistance Syndrome ◽  
Periodic Limb Movement Disorder ◽  
Obstructive Sleep

Sleep disorders encompass a wide spectrum of diseases with significant individual health consequences and high economic costs to society. To facilitate the diagnosis and treatment of sleep disorders, this review provides a framework using the International Classification of Sleep Disorders, Primary and secondary insomnia are differentiated, and pharmacological and nonpharmacological treatments are discussed. Common circadian rhythm disorders are described in conjunction with interventions, including chronotherapy and light therapy. The diagnosis and treatment of restless legs syndrome/periodic limb movement disorder is addressed. Attention is focused on obstructive sleep apnea and upper airway resistance syndrome, and their treatment. The constellation of symptoms and findings in narcolepsy are reviewed together with diagnostic testing and therapy, Parasomnias, including sleep terrors, somnambulism, and rapid eye movement (REM) behavior sleep disorders are described, together with associated laboratory testing results and treatment.

Note on the spectral classification of carbon stars in the photographic infrared region

1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita
Keyword(s):  
Infrared Region ◽  
Spectral Classification ◽  
Carbon Stars

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.

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