Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Hearing-aid pre-selection through a neural network

O Arntsen1, H Koren, T Strøm

  • 1Buskerud College, Faculty of Engineering, Department of Computer Science, Kongsberg, Norway.

Scandinavian Audiology
|January 1, 1996
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Presence of the partner in the operating room during a category 1 cesarean section: a prospective explorative study.

International journal of obstetric anesthesia·2023
Same author

Homozygous XYLT2 variants as a cause of spondyloocular syndrome.

Clinical genetics·2017
Same author

A randomized trial of automated intermittent ropivacaine administration vs. continuous infusion in an interscalene catheter.

Acta anaesthesiologica Scandinavica·2017
Same author

Global Allergy Forum and 3rd Davos Declaration 2015: Atopic dermatitis/Eczema: challenges and opportunities toward precision medicine.

Allergy·2016
Same author

Killing often spoken of as natural hellip; the cryptic orphan killer cells.

Immunology today·2014
Same author

Global Allergy Forum and Second Davos Declaration 2013 Allergy: Barriers to cure--challenges and actions to be taken.

Allergy·2014
Same journal

Vision and hearing in old age.

Scandinavian audiology·2002
Same journal

Two families with phenotypically different hereditary low frequency hearing impairment: longitudinal data and linkage analysis.

Scandinavian audiology·2002
Same journal

Age and noise-induced hearing loss.

Scandinavian audiology·2002
Same journal

Bilateral hearing aids--effects and consequences from a user perspective.

Scandinavian audiology·2002
Same journal

Threshold-based fitting methods for non-linear (WDRC) hearing instruments--comparison of acoustic characteristics.

Scandinavian audiology·2002
Same journal

Will hearing healthcare be affordable in the new millennium.

Scandinavian audiology·2001
See all related articles

Choosing the right hearing aid is challenging due to many options. Artificial neural networks can now recognize audiograms and suggest suitable hearing aids, aiding professionals in selection.

Area of Science:

  • Audiology
  • Artificial Intelligence
  • Biomedical Engineering

Background:

  • The increasing number of hearing aid models complicates optimal selection for patients.
  • Hearing aid fitting requires matching device capabilities to individual audiometric profiles.

Purpose of the Study:

  • To investigate the use of artificial neural networks for hearing aid selection.
  • To develop a program to assist hearing aid fitters in the initial selection process.

Main Methods:

  • Artificial neural networks were employed to analyze audiogram data.
  • The networks were trained to recognize patterns in audiograms.
  • A system was developed to map recognized audiograms to appropriate hearing aid models.

Main Results:

Related Experiment Videos

  • Artificial neural networks demonstrated the capability to recognize audiograms.
  • The developed program successfully related audiometric data to suitable hearing aid options.
  • The system provides assistance in the early stages of hearing aid selection.

Conclusions:

  • Artificial neural networks offer a promising approach to automate and improve hearing aid selection.
  • The developed program can serve as a valuable tool for hearing aid fitters.
  • This technology has the potential to streamline the hearing aid fitting process.