*Result*: Adaptive Algorithms for DPOAE Level-Map Acquisition.

Title:
Adaptive Algorithms for DPOAE Level-Map Acquisition.
Source:
IEEE transactions on bio-medical engineering [IEEE Trans Biomed Eng] 2026 Feb; Vol. 73 (2), pp. 964-975.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Institute Of Electrical And Electronics Engineers Country of Publication: United States NLM ID: 0012737 Publication Model: Print Cited Medium: Internet ISSN: 1558-2531 (Electronic) Linking ISSN: 00189294 NLM ISO Abbreviation: IEEE Trans Biomed Eng Subsets: MEDLINE
Imprint Name(s):
Publication: New York, NY : Institute Of Electrical And Electronics Engineers
Original Publication: New York, IEEE Professional Technical Group on Bio-Medical Engineering.
Entry Date(s):
Date Created: 20250807 Date Completed: 20260121 Latest Revision: 20260122
Update Code:
20260130
DOI:
10.1109/TBME.2025.3596784
PMID:
40773401
Database:
MEDLINE

*Further Information*

*Distortion-product otoacoustic emissions (DPOAE) are intermodulation products stimulated by two tones and reflect the nonlinear mechanical processing within the inner ear by the so-called cochlear amplifier. Therefore, they are interpreted as a diagnostic measure of its functional state. Due to their small amplitudes and the correspondingly long averaging time, current clinical systems measure one DPOAE amplitude at approximately seven fixed frequencies, representing a one-dimensional (1D) scan. More advanced systems record input-output functions of the distortion-product amplitudes, where both tones are varied in a predefined ratio, resulting in a two-dimensional (2D) scan. A three-dimensional (3D) scan, where both stimulus tones are varied independently, yields more detailed information about the cochlea, but at the cost of longer measurement times. In this study, we introduce an adaptive measurement method, that autonomously collects more DPOAE data with sufficient signal-to-noise ratio (SNR) and leads more often to the identification of the so-called "individually optimal stimulus level path" than the previously used static method, which uses predefined fixed stimulus levels. In six ears of three subjects, the adaptive method detected 23% more valid DPOAE data. A bivariate histogram of area and density of DPOAE amplitudes for the optimal-path samples shows that the adaptive method balances these competing goals more effectively. This results in higher-quality DPOAE level maps. Thus, the adaptive method has proven to be a time-efficient approach to characterize cochlear function more comprehensively.*