Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

SUN test (Speech Understanding in Noise): un test automatico per lo screening uditivo dell'adulto

Articolo
Data di Pubblicazione:
2011
Abstract:
Aim. To develop and validate an automated speech-in-noise test (SUN test - Speech Understanding in Noise) for adult hearing screening.
Methods. The SUN test is based on the multiple-choice recognition of intervocalic consonants (VCV) in noise. A list of VCV stimuli is presented unilaterally, with ipsilateral noise of increasing level. For each VCV stimulus, a set of three alternatives are displayed on a touch-screen where the subject has to identify the perceived stimulus. Based on the number of correct responses, the test provides one of three possible outcomes: "green" = "no listening difficulties"; "yellow" = "a hearing check would be advisable"; "red" = "a hearing check is recommended". The test was developed and validated in a overall population of more than 1300 subjects with age ranging from 13 to 89 years. The test was developed in the Italian language and, also, in other languages such as, for example, English, German, French, and Spanish. This paper describes and discusses the main results obtained with the SUN test in the Italian language.
Results. The SUN test is an easy-to-use test, automated and fast (less than 1 minute per ear). The test is reliable and can be easily used also by elderly subjects. Test performance is robust also in high ambient noise environments and could thus be used also in non clinical settings, where the ambient noise is typically not controlled.
Conclusion. Results suggest that the SUN test might be a viable approach for adult hearing screening.
Tipologia CRIS:
01.01 Articolo in rivista
Elenco autori:
Grandori, Ferdinando; Tognola, Gabriella; Paglialonga, Alessia
Autori di Ateneo:
PAGLIALONGA ALESSIA
TOGNOLA GABRIELLA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/258132
Pubblicato in:
MINERVA OTORINOLARINGOLOGICA
Journal
  • Dati Generali

Dati Generali

URL

http://www.minervamedica.it/en/journals/otorinolaringologia/article.php?cod=R27Y2011N04A0101
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.1.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)