PIPages
Labs

Susan Voss

Smith College, MA·Biomedical Engineering

A quick, painless sound test played into the ear canal could show what is wrong in the middle ear. That includes fluid behind the eardrum, a broken or stiffened chain of the tiny ear bones, or changes caused by pressure inside the skull.

Fields

Biomedical Engineering

Engineering

Computer Science

Topics

wideband acoustic immittance

absorbance

power reflectance

Grants
1 known grant, through Jun 2027

What they work on

  1. Expand and update the online wideband acoustic immittance database, now over 9,900 subjects from 41 studies, to define normal measurements and show how specific middle-ear diseases change them.
  2. Set criteria for valid WAI measurements through controlled lab experiments that systematically vary acoustic leaks and probe placement along the ear canal.
  3. Train machine-learning models on database measurements to separate normal from abnormal ears and ultimately classify specific conditions such as middle-ear fluid or fixed ear bones.

More about the research

This family of tests is called wideband acoustic immittance (WAI). It measures how sound is absorbed and reflected by the ear, using quantities such as absorbance, power reflectance and impedance. WAI may detect fluid in newborns and young infants, whose ears the standard test, tympanometry, often handles poorly. Early diagnosis in these babies can be critical to normal speech and language development.

Why it matters

Wideband acoustic immittance could give clinicians a simple, noninvasive way to find the cause of hearing loss in patients of any age. In newborns and infants, it could catch middle-ear fluid early enough to protect speech and language development. It could also distinguish causes of conductive hearing loss, such as fluid versus fixed or detached ear bones, and help monitor pressure inside the skull.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

Integrating data from a wideband acoustic immittance database to develop machine-learning models that characterize pathology in auditory measurements

NIH · Jun 2014 – Jun 2027

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The school

Smith College: 4 labs on PI Pages, $7M a year on research, 5 research doctorates a year.

More about Smith College

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