Automatic detection of obstructive sleep apnea using speech signals

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 5, 2011, Pages 1373-1382

  Goldshtein, Evgenia ^a   Tarasiuk, Ariel ^b   Zigel, Yaniv ^c  

^a BlueLibris Inc   (United States)

^b BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

^c BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

Obstructive sleep apnea (OSA); speech processing; speech signals

Indexed keywords

ACOUSTIC FEATURES; ACOUSTIC PARAMETERS; ACOUSTIC SPEECH; AUTOMATIC DETECTION; CONTROL SUBJECT; DIGITAL AUDIO; DISCRIMINATIVE FEATURES; FEATURE SELECTION; GAUSSIAN MIXTURE MODEL; LINEAR PREDICTION COEFFICIENTS; OBSTRUCTIVE SLEEP APNEA; POLYSOMNOGRAPHY; SOFT TISSUE; SPEECH SIGNAL PROCESSING; SPEECH SIGNALS; UPPER AIRWAY; VOCAL TRACT LENGTHS; VOCAL-TRACTS;

AUDIO ACOUSTICS; AUDIO SIGNAL PROCESSING; FEATURE EXTRACTION; SIGNAL DETECTION; SIGNAL PROCESSING; SLEEP RESEARCH; SPEECH COMMUNICATION; SPEECH PROCESSING; TISSUE;

SPEECH RECOGNITION;

ADULT; AGED; APNEA HYPOPNEA INDEX; ARTICLE; AUDIO RECORDING; BODY MASS; CONTROLLED STUDY; EPWORTH SLEEPINESS SCALE; FEMALE; GAUSSIAN MIXTURE MODEL; HUMAN; KERNEL METHOD; MAJOR CLINICAL STUDY; MALE; PHONATION; POLYSOMNOGRAPHY; SENSITIVITY AND SPECIFICITY; SLEEP APNEA SYNDROME; SPEECH ANALYSIS; SPEECH ARTICULATION; VOCAL CORD; WAKEFULNESS;

ADULT; AGED; FEMALE; HUMANS; MALE; MIDDLE AGED; NORMAL DISTRIBUTION; REGRESSION ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SLEEP APNEA, OBSTRUCTIVE; SOUND SPECTROGRAPHY; SPEECH ACOUSTICS; WAKEFULNESS;

EID: 79955532383     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2100096     Document Type: Article

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