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N6 Input Processing in Traditional CI Recipients

Investigation of Nucleus 6 Sound Processor Input Processing in Cochlear Implant Recipients.

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02239263
Enrollment
40
Registered
2014-09-12
Start date
2014-05-31
Completion date
2015-01-31
Last updated
2021-02-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hearing Loss

Brief summary

The purpose of this study is to evaluate the enhanced signal processing features of the Nucleus 6 Sound Processor on existing Nucleus cochlear implant recipients currently using the Nucleus 5 Sound Processor.

Interventions

Sponsors

Cochlear
Lead SponsorINDUSTRY

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
12 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Greater than 12 years * Unilateral cochlear implant recipient (CI24RE, CI500, CI422) * Minimum of 3 months experience with the N5 sound processor * Prior documentation of sentence recognition testing in noise at a difficulty of +10 dB SNR or better * Native English speaker * Willingness to participate in and comply with all requirements of the protocol

Exclusion criteria

* Unrealistic expectations * Unwillingness to comply with investigational requirements of the protocol * Additional handicaps that would prevent or restrict participation in the evaluations

Design outcomes

Primary

MeasureTime frameDescription
Endpoint 1: Evaluation of Signal to Noise Ratio - Noise ReductionVisit 2, 1 month after baseline testingSpeech understanding in noise using AzBio sentences with and without the SNR - noise reduction algorithm enabled. Speech understanding at a fixed +10 dB signal to noise level in each condition (on/off) is scored as percent correct and then subtracted to demonstrate the percent difference (benefit) in performance of having the algorithm on vs off.
Endpoint 2: Evaluation of SCANVisit 2, 1 month after baseline testingSpeech understanding in noise using AzBio sentences with and without SCAN algorithm enabled. Speech understanding at a fixed +10 dB signal to noise level in each condition (on/off) is scored as percent correct and then subtracted to demonstrate the percent difference (benefit) in performance of having the algorithm on vs off.

Countries

United States

Participant flow

Pre-assignment details

As of the date of database closure, 34 of the 40 enrolled subjects completed Visit Two (endpoint testing).

Participants by arm

ArmCount
N6 Input Processing Features - SNR-NR & SCAN
Testing of the Nucleus 6 sound processing Signal to Noise Ratio - Noise Reduction (endpoint 1) and SCAN (endpoint 2)
40
Total40

Withdrawals & dropouts

PeriodReasonFG000
Overall StudyProtocol Violation6

Baseline characteristics

CharacteristicN6 Input Processing Features - SNR-NR & SCAN
Age, Continuous47 years
STANDARD_DEVIATION 21.6
Sex: Female, Male
Female
24 Participants
Sex: Female, Male
Male
16 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
— / —— / —
other
Total, other adverse events
0 / 400 / 40
serious
Total, serious adverse events
0 / 400 / 40

Outcome results

Primary

Endpoint 1: Evaluation of Signal to Noise Ratio - Noise Reduction

Speech understanding in noise using AzBio sentences with and without the SNR - noise reduction algorithm enabled. Speech understanding at a fixed +10 dB signal to noise level in each condition (on/off) is scored as percent correct and then subtracted to demonstrate the percent difference (benefit) in performance of having the algorithm on vs off.

Time frame: Visit 2, 1 month after baseline testing

ArmMeasureValue (MEAN)
N6 Input Processing Features - SNREndpoint 1: Evaluation of Signal to Noise Ratio - Noise Reduction-5.9 difference in percent correct scores
Primary

Endpoint 2: Evaluation of SCAN

Speech understanding in noise using AzBio sentences with and without SCAN algorithm enabled. Speech understanding at a fixed +10 dB signal to noise level in each condition (on/off) is scored as percent correct and then subtracted to demonstrate the percent difference (benefit) in performance of having the algorithm on vs off.

Time frame: Visit 2, 1 month after baseline testing

ArmMeasureValue (MEAN)
N6 Input Processing Features - SNREndpoint 2: Evaluation of SCAN-26.9 difference in percent correct scores

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026