DocumentCode :
2170237
Title :
Algorithm design of artifact removal in the embedded hearing diagnosis system
Author :
Haimeng, Sun
Author_Institution :
Information Engineering Department, Jimei University Chengyi College, XiaMen FuJian 361021, China
fYear :
2015
fDate :
22-24 July 2015
Firstpage :
651
Lastpage :
653
Abstract :
Among these response signals in the external auditory canal evoked by stimulating sounds, as OAEs signal intensity is very low, which is generally lower than 20BbSPL, while the stimulus artifact is relatively much stronger, stimulus artifact suppression has always been a very important but very thorny issue in the OAEs detection. This article studies the OAEs detection algorithm and the comprehensive application of the current signal processing method in the embedded hearing diagnosis system, which get good effects in artifact removal.
Keywords :
Auditory system; Ear; Irrigation; Noise; Reflection; Time-domain analysis; Artifact; Hearing diagnosis; TEOAEs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2015 10th International Conference on
Conference_Location :
Cambridge, United Kingdom
Print_ISBN :
978-1-4799-6598-4
Type :
conf
DOI :
10.1109/ICCSE.2015.7250327
Filename :
7250327
Link To Document :
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