Device Feature Selection

Device Feature Selection is a methodological construct in audiological engineering that identifies and prioritizes specific technological attributes of hearing aids to optimize individualized auditory rehabilitation outcomes based on patient-specific hearing requirements and environmental demands.

6

Publications

187

Citations

25

Authors

14

Institutions

Publications per year

2017–2026

2

Authors

25

  1. MA
    Michael A. Lones

    University of York, United Kingdom

    1 publications · 95 citations

    1

    h-index

  2. TL
    T. L. Welsher

    AT&T (United States), United States

    1 publications · 15 citations

    1

    h-index

  3. MG
    Michael Garland

    University of Illinois Urbana-Champaign, United States

    1 publications · 21 citations

    1

    h-index

  4. PK
    Paul Kelly

    Queen's University Belfast, United Kingdom

    1 publications · 23 citations

    1

    h-index

  5. AK
    Amit Kumar Roy

    University of Utah, United States

    1 publications · 21 citations

    1

    h-index

1–5 of 25

Venues

  1. IEEE Transactions on Biomedical Engineering

    1 publications · 15 citations

    1

    h-index

  2. Neurocomputing

    1 publications · 23 citations

    1

    h-index

  3. IEEE Internet of Things Journal

    1 publications · 95 citations

    1

    h-index

  4. AT&T Technical Journal

    1 publications · 15 citations

    1

    h-index

  5. Computers and Electronics in Agriculture

    1 publications · 18 citations

    1

    h-index

1–5