Title

WAI Database : Wideband Acoustic Immittance Database

Document Type

Data

Publication Date

2021

Data Description

WAI Database This webpage hosts a database for the WAI measures made on ears from infant, NICU infant, child, and adult subjects. It is funded by the National Institutes of Health, NIDCD, and hosted on a server at Smith College (PI Susan Voss, R15 DC014129-01). The goal of the database is to enable auditory researchers to share WAI measurements and combine analyses over multiple datasets.

File Formats

PI_Info, Subjects, and Measurements. Our team is happy to help format thexse files if you simply email Susan Voss (svoss AT smith.edu). PI_Info: Generate a .csv file with columns that match the established WAI database table PI_Info, defined here PI_Info_Codebook. Note, there will be one row for one published article, or simply one row per submitted data set. Subject_Info: Generate a .csv (comma-separated-value) file with columns that match the established WAI database table Subjects, defined here Subjects_Codebook . Note, there will be one row for each subject in a published article. Measurements: Generate a .csv (comma-separated-value) file with columns that match the established WAI database table Measurements, defined here Measurements_Codebook. Note, there will one row for each frequency of each measurement. For example, if each WAI measurement has 100 frequencies, and there are 5 measurements, then there will be 500 rows.

Abstract

What is WAI?

Wideband acoustic immittance (WAI) is an area of research that strives to develop WAI measurements as noninvasive auditory diagnostic tools for people of all ages. WAI measurements are reported in many related formats, including absorbance, admittance, impedance, power reflectance, and pressure reflectance. They can all be calculated from a single ear-canal pressure measurement and a measurement from the source’s Thevenin (or Norton) equivalent (WAI Mathematical Relationships).

Comments

An Online Wideband Acoustic Immittance (WAI) Database andCorresponding Website: Resource Review

Data must be published in a peer-reviewed format. Since all data is published and de-identified, it likely does not require additional IRB review. If researchers want to request permission from their IRB to include their de-identified data within this database, they can use this Draft Letter to IRB.

Submission of Data

WAI data that have been published in a peer-reviewed format can be submitted to be included in the WAI database. Click here for more details.

Download Data

All data in the database is available to be downloaded for research or educational purposes. Click here for more details.

Acknowledgments

The normative WAI database and corresponding website are funded by the National Institutes of Health, NIDCD (R15 DC014129). The server is hosted at Smith College.

Contributors to this work include:

  • Dr. Susan E. Voss, Picker Engineering Program, Smith College
  • Dr. Nicholas J. Horton, Professor of Mathematics & Statistics, Amherst College
  • Dr. Benjamin Baumer, Statistical and Data Sciences, Smith College
  • Suzanne Palmer Computing and Technical Services (CATS), Smith College
  • Melinda Pontes ’15 Picker Engineering Program, Smith College
  • Wendy Jiang ’16 Picker Engineering Program, Smith College
  • Tinli Yarrington ’18 Picker Engineering Program, Smith College
  • Melody Owen ‘17 Amherst College
  • Andrew Kim ‘18 Amherst College
  • Yuhan Wen ’20 Picker Engineering Program, Smith College
  • Julia Clark ’21 Picker Engineering Program, Smith College

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