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

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

doi:10.3109/14992027.2010.531294

Cited by 27 publications

(23 citation statements)

References 12 publications

(13 reference statements)

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“…Only 15% of these combine this with eCAP measures. One center (Antwerp) has a particular way of using preset MAPs with minimum and maximum levels based on statistical analysis of MAPs which have provided good results in other recipients [7, 8]. These preset MAPs are given without any prior behavioral or other evaluation.…”

Section: Resultsmentioning

confidence: 99%

Cochlear Implant Programming: A Global Survey on the State of the Art

Vaerenberg

Smits

Ceulaer³

et al. 2014

The Scientific World Journal

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The programming of CIs is essential for good performance. However, no Good Clinical Practice guidelines exist. This paper reports on the results of an inventory of the current practice worldwide. A questionnaire was distributed to 47 CI centers. They follow 47600 recipients in 17 countries and 5 continents. The results were discussed during a debate. Sixty-two percent of the results were verified through individual interviews during the following months. Most centers (72%) participated in a cross-sectional study logging 5 consecutive fitting sessions in 5 different recipients. Data indicate that general practice starts with a single switch-on session, followed by three monthly sessions, three quarterly sessions, and then annual sessions, all containing one hour of programming and testing. The main focus lies on setting maximum and, to a lesser extent, minimum current levels per electrode. These levels are often determined on a few electrodes and then extrapolated. They are mainly based on subjective loudness perception by the CI user and, to a lesser extent, on pure tone and speech audiometry. Objective measures play a small role as indication of the global MAP profile. Other MAP parameters are rarely modified. Measurable targets are only defined for pure tone audiometry. Huge variation exists between centers on all aspects of the fitting practice.

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Section: Resultsmentioning

confidence: 99%

Cochlear Implant Programming: A Global Survey on the State of the Art

Vaerenberg

Smits

Ceulaer³

et al. 2014

The Scientific World Journal

Self Cite

116

131

View full text Add to dashboard Cite

show abstract

“…Different genes are then compared with one another (via a paired-comparison procedure, for example) and the outcome of that comparison is used to determine whether a given ‘gene’ is used in the next set of comparisons according to the genetic algorithm used. This approach is theoretically very flexible, and thus far has been utilized with acoustic simulations of a cochlear implant (Baskent and Edwards, 2007; Baskent et al, 2007) as well as with cochlear implant patients themselves in both research (Wakefield et al, 2005) and clinical environments (Govaerts et al, 2010; Varenberg et al, 2011; Holmes et al, 2012). …”

Section: Introductionmentioning

confidence: 99%

Feasibility of Real-Time Selection of Frequency Tables in an Acoustic Simulation of a Cochlear Implant

Fitzgerald

Sagi

Morbiwala³

et al. 2013

Ear &Amp; Hearing

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Objectives Perception of spectrally degraded speech is particularly difficult when the signal is also distorted along the frequency axis. This might be particularly important for post-lingually deafened recipients of cochlear implants (CI), who must adapt to a signal where there may be a mismatch between the frequencies of an input signal and the characteristic frequencies of the neurons stimulated by the CI. However, there is a lack of tools that can be used to identify whether an individual has adapted fully to a mismatch in the frequency-to-place relationship and if so, to find a frequency table that ameliorates any negative effects of an unadapted mismatch. The goal of the proposed investigation is to test the feasibility of whether real-time selection of frequency tables can be used to identify cases in which listeners have not fully adapted to a frequency mismatch. The assumption underlying this approach is that listeners who have not adapted to a frequency mismatch will select a frequency table that minimizes any such mismatches, even at the expense of reducing the information provided by this frequency table. Design 34 normal-hearing adults listened to a noise-vocoded acoustic simulation of a cochlear implant and adjusted the frequency table in real time until they obtained a frequency table that sounded “most intelligible” to them. The use of an acoustic simulation was essential to this study because it allowed us to explicitly control the degree of frequency mismatch present in the simulation. None of the listeners had any previous experience with vocoded speech, in order to test the hypothesis that the real-time selection procedure could be used to identify cases in which a listener has not adapted to a frequency mismatch. After obtaining a self-selected table, we measured CNC word-recognition scores with that self-selected table and two other frequency tables: a “frequency-matched” table that matched the analysis filters with the noisebands of the noise-vocoder simulation, and a “right information” table that is similar to that used in most cochlear implant speech processors, but in this simulation results in a frequency shift equivalent to 6.5 mm of cochlear space. Results Listeners tended to select a table that was very close to, but shifted slightly lower in frequency from the frequency-matched table. The real-time selection process took on average 2–3 minutes for each trial, and the between-trial variability was comparable to that previously observed with closely-related procedures. The word-recognition scores with the self-selected table were clearly higher than with the right-information table and slightly higher than with the frequency-matched table. Conclusions Real-time self-selection of frequency tables may be a viable tool for identifying listeners who have not adapted to a mismatch in the frequency-to-place relationship, and to find a frequency table that is more appropriate for them. Moreover, the small but significant improvements in word-recognition ability observed with the sel...

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“…In speech audiometry, the percent correct score is typically measured over a range of levels of the test material and no background noise is used (Vaerenberg et al 2011). However, most speech tests use materials presented at a fixed level of the target speech or the background noise, or both.…”

Section: Introductionmentioning

confidence: 99%

Starr

et al. 2013

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The Sentence Test with Adaptive Randomized Roving levels seems practical to administer and is reasonably sensitive. For NH participants, a 2.2 dB difference in SRT is meaningful for a single list per condition and a single participant. Although learning effects were small for NH participants, it seems prudent to provide some practice sentences when testing hearing-impaired or CI participants. The very large effect of time compression for the CI group has implications for live voice testing of children, because speech rate is only poorly controlled in such testing.

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

Abstract: It is concluded that this approach is feasible to start up CI fitting and yields good outcome.

Cited by 27 publications

References 12 publications

Cochlear Implant Programming: A Global Survey on the State of the Art

Cochlear Implant Programming: A Global Survey on the State of the Art

Feasibility of Real-Time Selection of Frequency Tables in an Acoustic Simulation of a Cochlear Implant

Starr

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