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    An adaptive method for measuring distortion-product otoacoustic emissions (DPOAE) collects more valid data efficiently. This technique improves characterization of cochlear function by identifying optimal stimulus levels more effectively than static methods.

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    Area of Science:

    • Auditory Neuroscience
    • Otoacoustic Emissions Research
    • Biomedical Signal Processing

    Background:

    • Distortion-product otoacoustic emissions (DPOAE) assess cochlear amplifier function.
    • Current DPOAE measurements are often 1D or 2D scans, limited by long averaging times.
    • 3D scans offer more detail but require even longer measurement durations.

    Purpose of the Study:

    • To introduce and evaluate an adaptive measurement method for DPOAE.
    • To determine if the adaptive method can collect more valid DPOAE data with sufficient signal-to-noise ratio (SNR).
    • To compare the adaptive method's efficiency in identifying the "individually optimal stimulus level path" against static methods.

    Main Methods:

    • Developed an adaptive DPOAE measurement strategy that autonomously collects data.
    • Compared the adaptive method against a static method using predefined stimulus levels.
    • Analyzed DPOAE data quality using bivariate histograms of area and density for optimal path samples.

    Main Results:

    • The adaptive method detected 23% more valid DPOAE data across six ears in three subjects.
    • The adaptive approach more frequently identified the optimal stimulus level path.
    • Bivariate histograms indicated the adaptive method better balanced data acquisition and quality.

    Conclusions:

    • The adaptive DPOAE measurement method is more time-efficient for comprehensive cochlear function characterization.
    • This adaptive strategy yields higher-quality DPOAE level maps.
    • The adaptive method represents a significant advancement over static measurement techniques.