Automatic diagnosis of vocal fold paresis by employing phonovibrogram features and machine learning methods

Computer Methods and Programs in Biomedicine

Volumn 99, Issue 3, 2010, Pages 275-288

  Voigt, Daniel ^a   Döllinger, Michael ^a   Yang, Anxiong ^a   Eysholdt, Ulrich ^a   Lohscheller, Jörg ^b  

^a UNIVERSITY HOSPITAL ERLANGEN   (Germany)

^b TRIER UNIVERSITY OF APPLIED SCIENCES   (Germany)

Author keywords

Computer assisted diagnosis; Feature extraction; Laryngeal high speed video analysis; Phonovibrography; Vocal fold paresis; Voice disorders

Indexed keywords

COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; FEATURE EXTRACTION; HIGH SPEED CAMERAS; LEARNING ALGORITHMS; RELIABILITY ANALYSIS; SPEECH;

COMPUTER ASSISTED DIAGNOSIS; HIGH-SPEED VIDEO ANALYSIS; PHONOVIBROGRAPHY; VOCAL FOLDS; VOICE DISORDERS;

MACHINE LEARNING;

ADULT; ARTICLE; AUTOMATION; CAMERA; CLINICAL ARTICLE; CLINICAL PROTOCOL; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC PROCEDURE; DYSPHONIA; ENDOSCOPE; EUROPE; FEMALE; GOLD STANDARD; HUMAN; IMAGE ANALYSIS; LARYNGOSCOPE; LARYNGOSCOPY; LARYNX; MACHINE LEARNING; MEDICAL SOCIETY; MOTION; PHONATION; PHONOVIBROGRAPHY; VIBRATION; VIDEORECORDING; VOCAL CORD; VOCAL CORD PARALYSIS;

EID: 77955516921     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2010.01.004     Document Type: Article

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