Optimizing the Diagnostic Power of Otoacoustic Emissions Using Theoretical Cochlear Mechanics

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Springer

Paru le : 2025-07-08

This book examines the diagnostic usefulness of otoacoustic emissions (OAEs) in the context of theoretical cochlear mechanics. OAEs have proven to be immensely useful for diagnostic purposes. The phenomenology of hearing physiology, and OAEs in particular, is briefly summarized, providing the necess...
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Éditeur

Collection
n.c

Parution
2025-07-08

Pages
182 pages

EAN papier
9783031905131

Auteur(s) du livre


Arturo Moleti is associate professor of Applied Physics at the Physics Dept. of the University of Roma Tor Vergata. His current research activity covers theoretical and experimental aspects of the Physics of Hearing, particularly Cochlear Mechanics and Otoacoustic Emissions. He authored peer-reviewed publications in the fields of hearing science, gravitational waves, nuclear fusion, and far infrared astronomy. He has been the principal investigator of national and international research projects. His recent research projects include: "OAE component unmixing", "Astronauts' hearing in microgravity", and "OAE response in neurodegenerative diseases". Renata Sisto is research director at the Italian Workers' Compensation Authority (INAIL) at the Laboratories of Monte Porzio Catone. Her peer-reviewed publications span the fields of theoretical particle physics and occupational health, with a particular focus on theoretical cochlear modeling and on the application of objective diagnostics of hearing to occupationally exposed workers. She has been the principal investigator of numerous national research projects. Her recent research projects include: "OAE-based objective diagnostics", "Intensimetric OAE measurements", "Physiological basis of nonlinear cochlear models".

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EAN PDF
9783031905148
Prix
158,24 €
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
7168 Ko
EAN EPUB
9783031905148
Prix
158,24 €
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
16486 Ko

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