Automatic breath and snore sounds classification from tracheal and ambient sounds recordings

Medical Engineering and Physics

Volumn 32, Issue 9, 2010, Pages 985-990

  Yadollahi, Azadeh ^a,b   Moussavi, Zahra ^a,b  

^a UNIVERSITY OF MANITOBA   (Canada)

^b TRLABS   (Canada)

Author keywords

Ambient recording; Breath; Classification; Obstructive sleep apnea; Snore sound; Tracheal

Indexed keywords

AMBIENT RECORDING; BREATH; CLASSIFICATION; OBSTRUCTIVE SLEEP APNEA; SNORE SOUND; TRACHEAL;

ALGEBRA; DATA REDUCTION; EXPERIMENTS; MICROPHONES;

SLEEP RESEARCH;

ABNORMAL RESPIRATORY SOUND; ADULT; ARTICLE; AUDIO RECORDING; AUTOMATION; BAYES THEOREM; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FEMALE; HUMAN; MALE; MICROPHONE; POLYSOMNOGRAPHY; PRIORITY JOURNAL; PROCESS DEVELOPMENT; SENSITIVITY AND SPECIFICITY; SIGNAL DETECTION; SLEEP APNEA SYNDROME; SNORING; SOUND DETECTION; SOUND TRANSMISSION;

AUDIOVISUAL AIDS; AUTOMATION; FEMALE; FOREHEAD; HUMANS; MALE; MIDDLE AGED; POSTURE; RESPIRATORY SOUNDS; SNORING; TRACHEA;

EID: 78049278252     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.medengphy.2010.06.013     Document Type: Article

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