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A Structural Equation Approach to Characterizing Growth and Nonlinearity Underlying Distortion Product Otoacoustic
Shawn S Goodman1, M Ehsan Khalili2, Julia H Roemen2
1Department of Communication Sciences and Disorders, University of Iowa, Iowa City, IA, USA. shawn-goodman@uiowa.edu.
A new latent growth model accurately characterizes distortion product otoacoustic emission growth functions (GFs) and cochlear non-linearities, even in low signal-to-noise ratios. This method enhances DPOAEs
Area of Science:
- Auditory Neuroscience
- Otoacoustic Emissions
- Biomedical Signal Processing
Background:
- Distortion product otoacoustic emissions (DPOAEs) measured as growth functions (GFs) offer insights into cochlear function.
- Understanding the relationship between DPOAE GFs, cochlear non-linearities, and auditory health is crucial for diagnostic applications.
- Existing methods for analyzing DPOAE GFs can be limited by varying signal-to-noise ratios (SNRs).
Purpose of the Study:
- To develop and validate a robust latent growth model for characterizing DPOAE GFs.
- To investigate the relationship between stimulus parameters, GF shapes, and underlying cochlear non-linearities.
- To improve the diagnostic potential of DPOAEs for assessing cochlear health.
Main Methods:
- Latent growth modeling within a structural equation modeling framework was employed.
- A generalized logistic function modeled latent non-linearity, coupled with a generalized linear regression for GF fitting.
- The model was applied to DPOAE GF data from twelve young adult ears.
Main Results:
- The developed model accurately characterized DPOAE GFs and inferred underlying cochlear non-linearities.
- The fitting method demonstrated robust performance under low SNR conditions.
- The model accurately predicted DPOAE magnitudes at low stimulus levels.
Conclusions:
- A robust latent growth model for characterizing DPOAE GFs was established.
- This method provides a foundation for future studies on cochlear health and auditory function.
- The findings support the enhanced diagnostic utility of DPOAEs.
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