A Multicenter Clinical Evaluation of Data Logging in Cochlear Implant Recipients Using Automated Scene Classification Technologies

Gaetano Paludetti, Nicola Antonio Adolfo Quaranta, Italo Cantore, Eliana Cristofari, Domenico Cuda, Alessandro Martini, Francesca Forli, Diego Zanetti, Diego Di Lisi, Pasquale Marsella, Daniele Marchioni, Vincenzo Vincenti, Claudia Aimoni, Maria Grazia Barezzani, Carlo Antonio Leone, Nicola Quaranta, Marco Bianchedi, Livio Presutti, Antonio Della Volpe, Luca Oscar Redaelli De ZinisGiuseppe Nicolò Frau, Eva Orzan, Francesco Galletti, Silvano Vitale, Ferdinando Raso, Maurizio Negri, Franco Trabalzini, Walter Livi, Lucia Oriella Piccioni, Giampietro Ricci, Paolo Malerba

Risultato della ricerca: Contributo in rivistaArticolo in rivista

17 Citazioni (Scopus)

Abstract

Currently, there are no studies assessing everyday use of cochlear implant (CI) processors by recipients by means of objective tools. The Nucleus 6 sound processor features a data logging system capable of real-time recording of CI use in different acoustic environments and under various categories of loudness levels. In this study, we report data logged for the different scenes and different loudness levels of 1,366 CI patients, as recorded by SCAN. Monitoring device use in cochlear implant recipients of all ages provides important information about the listening conditions encountered in recipients' daily lives that may support counseling and assist in the further management of their device settings. The findings for this large cohort of active CI users confirm differences between age groups concerning device use and exposure to various noise environments, especially between the youngest and oldest age groups, while similar levels of loudness were observed.
Lingua originaleEnglish
pagine (da-a)226-235
Numero di pagine10
RivistaAUDIOLOGY & NEURO-OTOLOGY
Volume22
DOI
Stato di pubblicazionePubblicato - 2017

Keywords

  • 3616
  • Automatic SCAN
  • Cochlear implant listening habits
  • Cochlear implants in noise
  • Data logging
  • Otorhinolaryngology2734 Pathology and Forensic Medicine
  • Physiology
  • Sensory Systems

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