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Quantification technique for the middle latency response.

H J Gould1, M R Crawford, M I Mendel

  • 1Department of Audiology and Speech Pathology, Memphis State University, Tennessee 38105.

Journal of the American Academy of Audiology
|May 1, 1992
PubMed
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The Fsp statistical technique effectively analyzes the auditory evoked middle latency response (MLR). Optimal MLR analysis using Fsp requires a 20 Hz high-pass filter and a 50-millisecond time window.

Area of Science:

  • Auditory Neuroscience
  • Signal Processing
  • Electroencephalography (EEG)

Background:

  • Objective analysis techniques for auditory evoked middle latency response (MLR) are limited.
  • The Fsp statistical technique offers a potential method for MLR analysis.

Purpose of the Study:

  • To demonstrate the applicability of the Fsp statistical technique to the MLR time domain.
  • To determine optimal collection characteristics for Fsp analysis of the MLR.

Main Methods:

  • Applied the Fsp technique to MLR data from 10 normal-hearing adults.
  • Utilized click stimuli at 60, 40, 20 dB nHL and a NS control.
  • Collected 10,000 individual traces per stimulus and analyzed offline.
  • Examined effects of filtering and time window size on Fsp analysis.

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Main Results:

  • The Fsp technique is a viable tool for estimating signal-to-noise ratios in the MLR.
  • Optimal parameters for Fsp analysis of MLR include a 20 Hz high-pass filter and a 50-millisecond time window.

Conclusions:

  • The Fsp technique provides an objective method for analyzing the auditory evoked middle latency response.
  • Specific filter and time window settings enhance the reliability of Fsp analysis for MLR.