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Multisine excitation enables frequency dense OCT-vibrometry for middle ear mechanics

Livens, Pieter, Van der Jeught, Sam, Bradu, Adrian (2026) Multisine excitation enables frequency dense OCT-vibrometry for middle ear mechanics. IEEE Transactions on Instrumentation and Measurement, 75 . pp. 1-8. ISSN 0018-9456. E-ISSN 1557-9662. (doi:10.1109/TIM.2026.3660441) (KAR id:115675)

Abstract

Optical coherence tomography (OCT) vibrometry enables noninvasive, high-resolution measurement of tissue motion with nanometer sensitivity. However, ex vivo measurements are limited by postmortem changes, and in vivo recordings are susceptible to patient motion artifacts. Therefore, accelerating OCT vibrometry acquisition is essential for advancing both fundamental research and clinical applications. To address this challenge, we introduce multisine OCT vibrometry. Using multisine stimulation, a single OCT dataset captures displacement information across a broad frequency range. Here, we present frequency-dependent displacement data for rubber membranes and rabbit eardrums. The multisine dataset results are consistent with pure-tone validation measurements. Furthermore, the multisine datasets offer insights into the relative mobility of the rubber membrane and eardrum samples, underscoring their potential for tissue characterization and diagnosis. Our findings demonstrate that multisine OCT vibrometry reduces acquisition, processing, and visualization time without compromising accuracy. This approach enables dense OCT data collection and represents a significant advancement toward rapid, reliable clinical assessment of middle ear mechanics.

Item Type: Article
DOI/Identification number: 10.1109/TIM.2026.3660441
Subjects: Q Science > QC Physics > QC355 Optics
Institutional Unit: Schools > School of Engineering, Mathematics and Physics > Physics and Astronomy
Former Institutional Unit:
There are no former institutional units.
Funders: Academy of Medical Sciences (https://ror.org/00c489v88)
Royal Society (https://ror.org/03wnrjx87)
Depositing User: Adrian Bradu
Date Deposited: 25 Jun 2026 09:06 UTC
Last Modified: 26 Jun 2026 09:53 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/115675 (The current URI for this page, for reference purposes)

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