Evidence map›Paper›PMID 41928801›Full record

ArticleResearch square2026

Advanced Methodology for Damping Characterization of the Human Tympanic Membrane Using High-Speed Digital Holographic and STFT Analysis.

L F Caminos, J Garcia-Manrique, Jeffrey T Cheng, A Gonzalez-Herrera

Abstract readPreprint
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

L F CaminosDepartment of Civil Engineering, Materials and Manufacturing, School of Engineering. University of Malaga. Spain.
J Garcia-ManriqueDepartment of Civil Engineering, Materials and Manufacturing, School of Engineering. University of Malaga. Spain.
Jeffrey T ChengEaton-Peabody Laboratory, Massachusetts Eye and Ear, Boston, MA, USA.
A Gonzalez-HerreraDepartment of Civil Engineering, Materials and Manufacturing, School of Engineering. University of Malaga. Spain.

Funding

Middle Ear Nonlinearity in High Intensity Sound: Impact on Hearing Damage and ProtectionR01DC016079 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI Jeffrey Tao Cheng · 2017 to 2026
$4.1M
NIDCD NIH HHS R01 DC016079
6 · The paper itself

Abstract

This study presents an experimental methodology for estimating frequency-dependent damping in the human tympanic membrane (TM) using full-field time-domain holographic measurements and Short-Time Fourier Transform (STFT) analysis. Although damping plays a critical role in middle-ear mechanics, its experimental estimation remains challenging, with reported values exhibiting substantial variability. A high-speed digital holography (HDH) system is employed to capture transient displacement fields of the TM surface from cadaveric human temporal bones subjected to acoustic click excitation. The proposed methodology enables the analysis of damping as a function of frequency by isolating free-vibration decay in the time-frequency domain, overcoming limitations of conventional time-domain techniques in systems with multiple overlapping modes. The results reveal a clear frequency dependence of effective system-level damping and its spatial variation across the membrane, as well as the influence of ossicular chain loading. This approach offers a practical framework for extracting damping information from HDH experiments. The methodology provides robust damping values relevant for improving the calibration and validation of finite element models of middle-ear mechanics.

Indexed as

dampingHigh-speed digital holographicShort-Time Fourier TransformTympanic membrane

Identifiers

PMID41928801
PMCPMC13042190

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.