Application of Neural Network Modeling to Identify Auditory Processing Disorders in School-Age Children

Autor:	Sridhar Krishnamurti
Jazyk:	angličtina
Rok vydání:	2015
Předmět:	Tone burst School age child Article Subject Computer science Neural network modeling Speech recognition Automotive Engineering Information processing Stimulus (physiology)
Zdroj:	Advances in Artificial Neural Systems.
ISSN:	1687-7594
DOI:	10.1155/2015/635840
Popis:	P300 Auditory Event-Related Potentials (P3AERPs) were recorded in nine school-age children with auditory processing disorders and nine age- and gender-matched controls in response to tone burst stimuli presented at varying rates (1/second or 3/second) under varying levels of competing noise (0 dB, 40 dB, or 60 dB SPL). Neural network modeling results indicated that speed of information processing and task-related demands significantly influenced P3AERP latency in children with auditory processing disorders. Competing noise and rapid stimulus rates influenced P3AERP amplitude in both groups.
Databáze:	OpenAIRE
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