Automatic classification of transiently evoked otoacoustic emissions using an artificial neural network

British Journal of Audiology

Volumn 32, Issue 4, 1998, Pages 235-247

  Buller, G ^a   Lutman, M E ^b  

^a Hochschule Wismar   (Germany)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Hearing screening; Neonate; Neural network; Sensitivity; Specificity; Transiently evoked otoacoustic emissions

Indexed keywords

ARTICLE; ARTIFACT; ARTIFICIAL NEURAL NETWORK; AUDITORY SCREENING; CLASSIFICATION; COMPUTER PROGRAM; DATA BASE; DECISION MAKING; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; EVOKED OTOACOUSTIC EMISSION; EXPERIENCE; EXPERT SYSTEM; HEARING IMPAIRMENT; HUMAN; LEARNING; NEWBORN; NEWBORN SCREENING; PRIORITY JOURNAL; SCORING SYSTEM; TEACHING; TIME; WAVEFORM;

EID: 0031665776     PISSN: 03005364     EISSN: None     Source Type: Journal    
DOI: 10.3109/03005364000000071     Document Type: Article

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