Audiometry

Audiometry: A model-view-viewmodel (MVVM) application framework for hearing impairment diagnosis - Published in JOSS (2020)

https://github.com/drwaseemsheikh/audiometry

Science Score: 59.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: joss.theoj.org
  • Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.4%) to scientific vocabulary

Keywords

audiometry csharp hearing-tests visualizing-data wpf
Last synced: 6 months ago · JSON representation

Repository

Audiometry is an application framework written in C# and based on WPF and .NET that enables accurate digital recording, search, analysis, graphical visualization, and reproduction of human audio-vestibular impairment test data to assist in hearing loss or disability diagnosis.

Basic Info
  • Host: GitHub
  • Owner: drwaseemsheikh
  • License: mit
  • Language: C#
  • Default Branch: master
  • Homepage:
  • Size: 123 MB
Statistics
  • Stars: 23
  • Watchers: 5
  • Forks: 9
  • Open Issues: 1
  • Releases: 1
Topics
audiometry csharp hearing-tests visualizing-data wpf
Created over 6 years ago · Last pushed over 5 years ago
Metadata Files
Readme License

README.md

audiometry

Audiometry is an open-source application framework based on WPF and .NET to create hearing test related applications. The framework is built using the Model-View-ViewModel (MVVM) software architectural pattern.

Audiometry can store, process, and visualize data corresponding to tuning fork tests including Weber, Rinne, Schwabach, absolute bone conduction, Teal, and Gelle; speech audiometry; pure-tone audiometry (PTA) including air conduction masked, air conduction unmasked, bone conduction masked, bone conduction unmasked, air conduction aided, loudness level, and sound field; impedance audiometry; bithermal caloric test; and advanced tests including alternate binaural loudness balance (ABLB), short increment sensitivity index (SISI), tone decay, and Stenger.

The application framework is extensible and can be used to develop new hearing test applications by extending the current functionality.

Audiometry is independent of specific hearing test hardware thus making it possible to be used with a wide variety of hearing test hardware.

Audiometry provides a unified and uniform interface for storing, processing, and visualizing data from a wide range of hearing tests that traditionally rely on different hardware and software to process and store data.

Installation

Audiometry can be installed on a Windows 7 or Windows 10 machine. To install the application, run the AudiometryInstaller.msi in the installer folder of the repository.

Documentation

A description of the software can be found at https://github.com/drwaseemsheikh/audiometry/blob/master/docs/full_paper.pdf. API docs can be found at https://drwaseemsheikh.github.io/audiometry/. The JOSS paper is available at DOI.

Owner

  • Name: Waseem Sheikh
  • Login: drwaseemsheikh
  • Kind: user
  • Location: 800 W University Pkwy, Orem, UT 84058
  • Company: Utah Valley University

Associate Professor Electrical and Computer Engineering Utah Valley University

GitHub Events

Total
  • Watch event: 3
  • Fork event: 1
Last Year
  • Watch event: 3
  • Fork event: 1

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 78
  • Total Committers: 3
  • Avg Commits per committer: 26.0
  • Development Distribution Score (DDS): 0.038
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
drwaseemsheikh 5****h 75
Waseem Sheikh w****h@o****u 2
Martin Modrák c****m@g****m 1
Committer Domains (Top 20 + Academic)
oit.edu: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 14
  • Total pull requests: 1
  • Average time to close issues: 2 months
  • Average time to close pull requests: 4 months
  • Total issue authors: 3
  • Total pull request authors: 1
  • Average comments per issue: 2.93
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • martinmodrak (11)
  • dvberkel (2)
  • petterreinholdtsen (1)
Pull Request Authors
  • martinmodrak (1)
Top Labels
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