Fast Acquisition of Otoacoustic Emissions by Means of Principal Component Analysis

Abstract

Transient-Evoked Otoacoustic Emissions (TEOAE) are nonstationary acoustic signals coming from the inner ear after acoustic stimulation by clicks and they are applied as tools in newborn hearing screening programs to allow the early identification of hearing loss and the consequent diagnosis and intervention. In any screening program, the duration of each test is a crucial parameter. For TEOAE, it is strongly influenced by the acquisition procedure, typically based on classical synchronous averaging technique over 260 sweeps, with an average acquisition time of about 2-3 minutes. This paper present an application of Principal Component Analysis (PCA) to rapidly-acquired TEOAE (averaged over only 10, 60 or 100 sweeps) for the detection of this type of cochlear response. The PAC approach is shown to be able to enhance the signal-to-noise ratio (SNR) and, in turn, to allow a correct detection of the responses. Results of the application of this approach in comparison with responses recorded, from the same wars, with classical technique will be shown. The reduction of the acquisition time to about one fourth with respect to its typical value and with approximately the same final signal-to-noise ratio will be discussed.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412640

Entities

People

  • F. Grandori
  • G. Tognola
  • M. Parazzini
  • P. Ravazzani

Organizations

  • Polytechnic University of Milan

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Acoustic Signals
  • Acquisition
  • Classification
  • Coefficients
  • Computations
  • Ear
  • Eigenvalues
  • Eigenvectors
  • Emission
  • Factor Analysis
  • Intensity
  • Military Research
  • Quality Of Life
  • Standards
  • Visual Inspection
  • Waveforms

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Auditory Neuroscience/Auditory Physiology.
  • Radar Systems Engineering.