An automatic and efficient method of snore events detection from sleep audio recordings

[1]  M. Littner,et al.  Practice parameters for the indications for polysomnography and related procedures: an update for 2005. , 2005, Sleep.

[2]  Yaniv Zigel,et al.  Automatic Detection of Obstructive Sleep Apnea Using Speech Signals , 2011, IEEE Transactions on Biomedical Engineering.

[3]  M Cavusoglu,et al.  An efficient method for snore/nonsnore classification of sleep sounds , 2007, Physiological measurement.

[4]  Antti Saastamoinen,et al.  Intelligent methods for identifying respiratory cycle phases from tracheal sound signal during sleep , 2009, Comput. Biol. Medicine.

[5]  Azadeh Yadollahi,et al.  Formant analysis of breath and snore sounds , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  N. Gavriely,et al.  The acoustic properties of snores. , 1995, The European respiratory journal.

[7]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[8]  Zahra Moussavi,et al.  Automatic and Unsupervised Snore Sound Extraction From Respiratory Sound Signals , 2011, IEEE Transactions on Biomedical Engineering.

[9]  Asela S Karunajeewa,et al.  Silence–breathing–snore classification from snore-related sounds , 2008, Physiological measurement.

[10]  Azadeh Yadollahi,et al.  Automatic breath and snore sounds classification from tracheal and ambient sounds recordings. , 2010, Medical engineering & physics.

[11]  W. Flemons,et al.  Home diagnosis of sleep apnea: a systematic review of the literature. An evidence review cosponsored by the American Academy of Sleep Medicine, the American College of Chest Physicians, and the American Thoracic Society. , 2003, Chest.

[12]  R. Jané,et al.  Acoustic analysis of snoring sound in patients with simple snoring and obstructive sleep apnoea. , 1996, The European respiratory journal.

[13]  Ajith S. Wakwella,et al.  Pitch jump probability measures for the analysis of snoring sounds in apnea , 2005, Physiological measurement.

[14]  W D Duckitt,et al.  Automatic detection, segmentation and assessment of snoring from ambient acoustic data , 2006, Physiological measurement.

[15]  R. Daroff,et al.  The International Classification of Sleep Disorders , 1991, Neurology.