Development of Custom Sound® Pro software utilising big data and its clinical evaluation.
To inform and optimise a cochlear implant (CI) fitting software design through an analysis of big data to define array-specific comfort (C) level profiles, frequently-used MAP parameters, and the minimum number of Neural Response Telemetry thresholds (tNRT) needed to create an accurate profile. To e...
| Publicado en: | International Journal of Audiology Vol. 63; no. 2; pp. 87 - 99 |
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| Autores principales: | , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Feb2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=175642995&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 175642995 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14992027 JW2 jtl: International Journal of Audiology issn: 14992027 maglogo: Y pubinfo: dt: Feb2024 vid: 63 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 175642995 160883820 175642995 175642995 10.1080/14992027.2022.2155880 175642995 ppf: 87 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Development of Custom Sound® Pro software utilising big data and its clinical evaluation. aug: au: Maruthurkkara, Saji Bennett, Christopher affil: Cochlear Limited, Sydney, Australia sug: subj: Software Design Cochlear Implant Auditory Threshold Data Analytics Cochlear Implant Programming Human Male Female Adolescence Young Adult Adult Middle Age Aged Aged, 80 and Over Prospective Studies Deafness Therapy Neural Pathways Loudness Perception Speech Perception Telemetry Goal-Setting Algorithms User-Computer Interface Automation Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: To inform and optimise a cochlear implant (CI) fitting software design through an analysis of big data to define array-specific comfort (C) level profiles, frequently-used MAP parameters, and the minimum number of Neural Response Telemetry thresholds (tNRT) needed to create an accurate profile. To evaluate the software's ease of use and completion time for AutoNRT®s. MAPs analysis. Clinical study evaluating software use in creating MAPs, addressing sound-quality issues and setting patient goals. MAPs (N = 39,885); CI recipients (N = 47) and clinicians (N = 19). Distinct C-level profiles were observed for lateral-wall, contour, and slim-modiolar electrode arrays. Default settings were used for most MAP parameters (13/16) except for Pulse Width, Rate, and Maxima. Nine tNRT measurements were required for an accurate C-level profile. Measurement-time of nine tNRTs via the new algorithm was comparable to five tNRTs using the previous algorithm. Nearly all (99%) clinical tasks were completed by clinicians with the first use of the software. Most CI recipients (79.5%) rated goal-setting as valuable. Custom Sound Pro fitting software developed based on big data analysis incorporates a guided fitting workflow and expected fitting ranges. It helps to improve clinical efficiency, is easy to use and supports patient-centred care. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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