DocumentCode :
3110400
Title :
A Labview-Based GUI for the Measurement of Otoacoustic Emissions
Author :
Wu, Ye. ; McNamara, D.M. ; Ziarani, A.K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Clarkson Univ., NY
fYear :
2006
fDate :
Aug. 30 2006-Sept. 3 2006
Firstpage :
505
Lastpage :
508
Abstract :
This paper presents the outcome of a software development project aimed at creating a stand-alone user-friendly signal processing algorithm for the estimation of distortion product otoacoustic emission (OAE) signals. OAE testing is one of the most commonly used methods of first screening of newborns´ hearing. Most of the currently available commercial devices rely upon averaging long strings of data and subsequent discrete Fourier analysis to estimate low level OAE signals from within the background noise in the presence of the strong stimuli. The main shortcoming of the presently employed technology is the need for long measurement time and its low noise immunity. The result of the software development project presented here is a graphical user interface (GUI) module that implements a recently introduced adaptive technique of OAE signal estimation. This software module is easy to use and is freely disseminated on the Internet for the use of the hearing research community. This GUI module allows loading of the a priori recorded OAE signals into the workspace, and provides the user with interactive instructions for the OAE signal estimation. Moreover, the user can generate simulated OAE signals to objectively evaluate the performance capability of the implemented signal processing technique
Keywords :
Internet; acoustic distortion; acoustic signal processing; biomedical measurement; graphical user interfaces; hearing; information dissemination; medical signal processing; obstetrics; otoacoustic emissions; virtual instrumentation; Internet; Labview-based GUI; adaptive technique; hearing research community; information dissemination; newborns hearing; otoacoustic emission measurement; signal distortion product estimation; stand-alone user-friendly signal processing algorithm; Auditory system; Distortion measurement; Estimation; Graphical user interfaces; Pediatrics; Programming; Signal analysis; Signal processing; Signal processing algorithms; Testing; Medical devices; hearing research; signal estimation; signal processing; software development;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
ISSN :
1557-170X
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2006.259998
Filename :
4461797
Link To Document :
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