Development of a Software Tool Using Deterministic Logic for the Optimization of Cochlear Implant Processor Programming

Govaerts, Paul; Vaerenberg, Bart; Ceulaer, Geert De; Daemers, K; Beukelaer, C De; Schauwers, Karen

doi:10.1097/mao.0b013e3181dd160b

Cited by 37 publications

(45 citation statements)

References 20 publications

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“…If accepted, then FOX automatically implements the required modifi cations and activates the new map. Full details are provided by Govaerts et al (2010). …”

Section: Fox Implementationmentioning

confidence: 99%

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Experiences of the use of FOX, an intelligent agent, for programming cochlear implant sound processors in new users

Vaerenberg

Govaerts

Ceulaer³

et al. 2010

International Journal of Audiology

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“…If accepted, then FOX automatically implements the required modifi cations and activates the new map. Full details are provided by Govaerts et al (2010). …”

Section: Fox Implementationmentioning

confidence: 99%

“…The principles and mode of operation of FOX are described in detail by Govaerts et al (2010). Briefl y, FOX considers results of several specifi c performance measures that refl ect cochlear function and resolution and assesses whether the parameters of the map in use can be adjusted to improve these measured outcomes.…”

mentioning

confidence: 99%

Experiences of the use of FOX, an intelligent agent, for programming cochlear implant sound processors in new users

Vaerenberg

Govaerts

Ceulaer³

et al. 2010

International Journal of Audiology

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“…This minimization of T-levels does not create a decrement in speech understanding [Spahr and Dorman, 2005;Boyd, 2006], although T-levels can be of importance in more challenging listening circumstances as in soft speech [Holden et al, 2011]. Govaerts et al [2010] recently proposed an automated fitting procedure, based on clinical level data, further adjusting those levels using psychoacoustic test results. In this approach, fitting is not solely based on comfort, as is common in clinical practice, but rather is outcome driven.…”

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confidence: 99%

Population-Based Prediction of Fitting Levels for Individual Cochlear Implant Recipients

Beek

Briaire

Frijns³

2014

Audiol Neurotol

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Objectives: This study analyzed the predictability of fitting levels for cochlear implant recipients based on a review of the clinical levels of the recipients. Design: Data containing threshold levels (T-levels) and maximum comfort levels (M-levels) for 151 adult subjects using a CII/HiRes 90K cochlear implant with a HiFocus 1/1 J electrode were used. The 10th, 25th, 50th, 75th and 90th percentiles of the T- and M-levels are reported. Speech perception of the subjects, using a HiRes speech coding strategy, was measured during routine clinical follow-up. Results: T-levels for most subjects were between 20 and 35% of their M-levels and were rarely (<1/50) below 10% of the M-levels. Furthermore, both T- and M-levels showed an increase over the first year of follow-up. Interestingly, levels expressed in linear charge units showed a clear increase in dynamic range (DR) over 1 year (29.8 CU; SD 73.0), whereas the DR expressed in decibels remained stable. T-level and DR were the only fitting parameters for which a significant correlation with speech perception (r = 0.34, p < 0.01, and r = 0.33, p < 0.01, respectively) could be demonstrated. Additionally, analysis showed that T- and M-level profiles expressed in decibels were independent of the subjects' across-site mean levels. Using mixed linear models, predictive models were obtained for the T- and M-levels of all separate electrode contacts. Conclusions: On the basis of the data set from 151 subjects, clinically applicable predictive models for T- and M-levels have been obtained. Based on one psychophysical measurement and a population-based T- or M-level profile, individual recipients' T- and M-levels can be approximated with a closed-set formula. Additionally, the analyzed fitting level data can serve as a reference for future patients. i 2014 S. Karger AG, Basel

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“…Recommendations to optimize a recipients program were based on the results of these outcome measures. These recommendations were created based on an analysis of clinical programs and outcomes from over 600 CI users at the Eargroup’s center (30). …”

Section: Discussionmentioning

confidence: 99%

“…We also compared the self-fit program to the baseline program to determine whether allowing experienced patients to set stimulation levels would be detrimental to success. While our approach and the FOX system were both able to reduce the time spent fitting patients, theoretically allowing the audiologist to focus on higher order problems, it is not known if the Eargroup’s FOX was detrimental to patient performance as the authors did not directly compare programs created with FOX to programs created with patient behavioral responses (30). …”

Section: Discussionmentioning

confidence: 99%

Participant-generated Cochlear Implant Programs

Dwyer

Spahr²,

Agrawal³

et al. 2016

Otology &Amp; Neurotology

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Objective To determine whether patient-derived programming of one’s cochlear implant (CI) stimulation levels may affect performance outcomes. Background Increases in patient population, device complexity, outcome expectations, and clinician responsibility have demonstrated the necessity for improved clinical efficiency. Methods Eighteen postlingually deafened adult CI recipients (mean=53 years; range, 24–83 years) participated in a repeated-measures, within-participant study designed to compare their baseline listening program to an experimental program they created. Results No significant group differences in aided sound-field thresholds, monosyllabic word recognition, speech understanding in quiet, speech understanding in noise, nor spectral modulation detection (SMD) were observed (p>0.05). Four ears (17%) improved with the experimental program for speech presented at 45 dB SPL and two ears (9%) performed worse. Six ears (27.3%) improved significantly with the self-fit program at +10 dB signal-to-noise ratio (SNR) and four ears (26.6%) improved in speech understanding at +5 dB SNR. No individual scored significantly worse when speech was presented in quiet at 60 dB SPL or in any of the noise conditions tested. All but one participant opted to keep at least one of the self-fitting programs at the completion of this study. Participants viewed the process of creating their program more favorably (t=2.11, p=0.012) and thought creating the program was easier than the traditional fitting methodology (t=2.12, p=0.003). Average time to create the self-fit program was 10 minutes, 10 seconds (mean=9:22; range, 4:46–24:40). Conclusions Allowing experienced adult CI recipients to set their own stimulation levels without clinical guidance is not detrimental to success.

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Development of a Software Tool Using Deterministic Logic for the Optimization of Cochlear Implant Processor Programming

Abstract: It is argued that this novel tool allows a systematic approach focusing on outcome, reducing the fitting time, and improving the quality of fitting. It introduces principles of artificial intelligence in the process of CI fitting.

Cited by 37 publications

References 20 publications

Experiences of the use of FOX, an intelligent agent, for programming cochlear implant sound processors in new users

Experiences of the use of FOX, an intelligent agent, for programming cochlear implant sound processors in new users

Population-Based Prediction of Fitting Levels for Individual Cochlear Implant Recipients

Participant-generated Cochlear Implant Programs

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