Home-Based Speech Perception Monitoring for Clinical Use With Cochlear Implant Users

Speech-perception testing is essential for monitoring outcomes with a hearing aid or cochlear implant (CI). However, clinical care is time-consuming and often challenging with an increasing number of clients. A potential approach to alleviating some clinical care and possibly making room for other o...

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Autores principales: Astrid van Wieringen, Sara Magits, Tom Francart, Jan Wouters
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Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/7dde6101c820431394f742b5794b4762
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spelling oai:doaj.org-article:7dde6101c820431394f742b5794b47622021-12-01T18:47:50ZHome-Based Speech Perception Monitoring for Clinical Use With Cochlear Implant Users1662-453X10.3389/fnins.2021.773427https://doaj.org/article/7dde6101c820431394f742b5794b47622021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fnins.2021.773427/fullhttps://doaj.org/toc/1662-453XSpeech-perception testing is essential for monitoring outcomes with a hearing aid or cochlear implant (CI). However, clinical care is time-consuming and often challenging with an increasing number of clients. A potential approach to alleviating some clinical care and possibly making room for other outcome measures is to employ technologies that assess performance in the home environment. In this study, we investigate 3 different speech perception indices in the same 40 CI users: phoneme identification (vowels and consonants), digits in noise (DiN) and sentence recognition in noise (SiN). The first two tasks were implemented on a tablet and performed multiple times by each client in their home environment, while the sentence task was administered at the clinic. Speech perception outcomes in the same forty CI users showed that DiN assessed at home can serve as an alternative to SiN assessed at the clinic. DiN scores are in line with the SiN ones by 3–4 dB improvement and are useful to monitor performance at regular intervals and to detect changes in auditory performance. Phoneme identification in quiet also explains a significant part of speech perception in noise, and provides additional information on the detectability and discriminability of speech cues. The added benefit of the phoneme identification task, which also proved to be easy to administer at home, is the information transmission analysis in addition to the summary score. Performance changes for the different indices can be interpreted by comparing against measurement error and help to target personalized rehabilitation. Altogether, home-based speech testing is reliable and proves powerful to complement care in the clinic for CI users.Astrid van WieringenSara MagitsTom FrancartJan WoutersFrontiers Media S.A.articlespeech understanding in noisedigits in noisephoneme identification in quietCI usershome testingNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENFrontiers in Neuroscience, Vol 15 (2021)
institution DOAJ
collection DOAJ
language EN
topic speech understanding in noise
digits in noise
phoneme identification in quiet
CI users
home testing
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
spellingShingle speech understanding in noise
digits in noise
phoneme identification in quiet
CI users
home testing
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Astrid van Wieringen
Sara Magits
Tom Francart
Jan Wouters
Home-Based Speech Perception Monitoring for Clinical Use With Cochlear Implant Users
description Speech-perception testing is essential for monitoring outcomes with a hearing aid or cochlear implant (CI). However, clinical care is time-consuming and often challenging with an increasing number of clients. A potential approach to alleviating some clinical care and possibly making room for other outcome measures is to employ technologies that assess performance in the home environment. In this study, we investigate 3 different speech perception indices in the same 40 CI users: phoneme identification (vowels and consonants), digits in noise (DiN) and sentence recognition in noise (SiN). The first two tasks were implemented on a tablet and performed multiple times by each client in their home environment, while the sentence task was administered at the clinic. Speech perception outcomes in the same forty CI users showed that DiN assessed at home can serve as an alternative to SiN assessed at the clinic. DiN scores are in line with the SiN ones by 3–4 dB improvement and are useful to monitor performance at regular intervals and to detect changes in auditory performance. Phoneme identification in quiet also explains a significant part of speech perception in noise, and provides additional information on the detectability and discriminability of speech cues. The added benefit of the phoneme identification task, which also proved to be easy to administer at home, is the information transmission analysis in addition to the summary score. Performance changes for the different indices can be interpreted by comparing against measurement error and help to target personalized rehabilitation. Altogether, home-based speech testing is reliable and proves powerful to complement care in the clinic for CI users.
format article
author Astrid van Wieringen
Sara Magits
Tom Francart
Jan Wouters
author_facet Astrid van Wieringen
Sara Magits
Tom Francart
Jan Wouters
author_sort Astrid van Wieringen
title Home-Based Speech Perception Monitoring for Clinical Use With Cochlear Implant Users
title_short Home-Based Speech Perception Monitoring for Clinical Use With Cochlear Implant Users
title_full Home-Based Speech Perception Monitoring for Clinical Use With Cochlear Implant Users
title_fullStr Home-Based Speech Perception Monitoring for Clinical Use With Cochlear Implant Users
title_full_unstemmed Home-Based Speech Perception Monitoring for Clinical Use With Cochlear Implant Users
title_sort home-based speech perception monitoring for clinical use with cochlear implant users
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/7dde6101c820431394f742b5794b4762
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AT tomfrancart homebasedspeechperceptionmonitoringforclinicalusewithcochlearimplantusers
AT janwouters homebasedspeechperceptionmonitoringforclinicalusewithcochlearimplantusers
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