A State-of-Art Review of Digital Technologies for the Next Generation of Tinnitus Therapeutics

aut.relation.journalFrontiers in Digital Health
aut.relation.startpage724370
aut.relation.volume3
dc.contributor.authorSearchfield, Grant D
dc.contributor.authorSanders, Philip J
dc.contributor.authorDoborjeh, Zohreh
dc.contributor.authorDoborjeh, Maryam
dc.contributor.authorBoldu, Roger
dc.contributor.authorSun, Kevin
dc.contributor.authorBarde, Amit
dc.date.accessioned2023-10-24T21:31:07Z
dc.date.available2023-10-24T21:31:07Z
dc.date.issued2021-08-10
dc.description.abstractBackground: Digital processing has enabled the development of several generations of technology for tinnitus therapy. The first digital generation was comprised of digital Hearing Aids (HAs) and personal digital music players implementing already established sound-based therapies, as well as text based information on the internet. In the second generation Smart-phone applications (apps) alone or in conjunction with HAs resulted in more therapy options for users to select from. The 3rd generation of digital tinnitus technologies began with the emergence of many novel, largely neurophysiologically-inspired, treatment theories that drove development of processing; enabled through HAs, apps, the internet and stand-alone devices. We are now of the cusp of a 4th generation that will incorporate physiological sensors, multiple transducers and AI to personalize therapies. Aim: To review technologies that will enable the next generations of digital therapies for tinnitus. Methods: A “state-of-the-art” review was undertaken to answer the question: what digital technology could be applied to tinnitus therapy in the next 10 years? Google Scholar and PubMed were searched for the 10-year period 2011–2021. The search strategy used the following key words: “tinnitus” and [“HA,” “personalized therapy,” “AI” (and “methods” or “applications”), “Virtual reality,” “Games,” “Sensors” and “Transducers”], and “Hearables.” Snowballing was used to expand the search from the identified papers. The results of the review were cataloged and organized into themes. Results: This paper identified digital technologies and research on the development of smart therapies for tinnitus. AI methods that could have tinnitus applications are identified and discussed. The potential of personalized treatments and the benefits of being able to gather data in ecologically valid settings are outlined. Conclusions: There is a huge scope for the application of digital technology to tinnitus therapy, but the uncertain mechanisms underpinning tinnitus present a challenge and many posited therapeutic approaches may not be successful. Personalized AI modeling based on biometric measures obtained through various sensor types, and assessments of individual psychology and lifestyles should result in the development of smart therapy platforms for tinnitus.
dc.identifier.citationFrontiers in Digital Health, ISSN: 2673-253X (Print); 2673-253X (Online), Frontiers Media SA, 3, 724370-. doi: 10.3389/fdgth.2021.724370
dc.identifier.doi10.3389/fdgth.2021.724370
dc.identifier.issn2673-253X
dc.identifier.issn2673-253X
dc.identifier.urihttp://hdl.handle.net/10292/16819
dc.languageeng
dc.publisherFrontiers Media SA
dc.relation.urihttps://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2021.724370/full
dc.rights.accessrightsOpenAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectbiometrics
dc.subjectdigital
dc.subjectreview
dc.subjecttechnology
dc.subjecttherapy
dc.subjecttinnitus
dc.subjecttreatment
dc.subject4201 Allied Health and Rehabilitation Science
dc.subject42 Health Sciences
dc.subject3 Good Health and Well Being
dc.subject4203 Health services and systems
dc.titleA State-of-Art Review of Digital Technologies for the Next Generation of Tinnitus Therapeutics
dc.typeJournal Article
pubs.elements-id438984
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