title: A labview-based GUI for the measurement of otoacoustic emissions.
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.
authors.affiliation: Dept. of Electrical & Computer Engineering, Clarkson University, NY 13699, USA.
authors.forename: Ye
authors.initials: Y
authors.lastname: Wu
authors.forename: D M
authors.initials: DM
authors.lastname: McNamara
authors.forename: A K
authors.initials: AK
authors.lastname: Ziarani
mesh_terms: D000161:Acoustic Stimulation / Q000379:methods; D003196:Computer Graphics; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006320:Hearing Tests / Q000379:methods*; D006801:Humans; D007231:Infant, Newborn; D017084:Otoacoustic Emissions, Spontaneous / Q000502:physiology*; D011381:Programming Languages; D012815:Signal Processing, Computer-Assisted; D012984:Software; D012985:Software Design; D013018:Sound Spectrography / Q000379:methods*; D014584:User-Computer Interface