Audiogram Estimation Performance Using Auditory Evoked Potentials and Gaussian Processes
GPs with active learning enable automatic, real-time ABR audiogram estimation with relatively low test time and high accuracy. The GP could be used to automate ABR audiogram estimation or to guide clinicians with this task, who may choose to override the GP's decisions if deemed necessary. Results suggest that GPs hold potential for next-generation ABR hearing threshold and audiogram-seeking devices.
Authors
- Josef Schlittenlacher
- David Martin Simpson (ORCID: https://orcid.org/0000-0001-9072-5088)
- Steven L. Bell (ORCID: https://orcid.org/0000-0001-5297-530X)
- Michael A. Chesnaye (ORCID: https://orcid.org/0000-0001-9885-2655)
- Søren Laugesen (ORCID: https://orcid.org/0000-0001-9531-9978)
Institutions
- National Acoustic Laboratories (AU)
- University of Southampton (GB)
- University College London (GB)
Publication Details
- Journal
- Ear and Hearing
- Published
- 2024-09-12
- DOI
- https://doi.org/10.1097/aud.0000000000001570
- Citations
- 5
- Primary Topic
- Blind Source Separation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.75
Funders
- University of Southampton
- William Demant Fonden