Nucleus 22 cochlear implant: a case study

Access to thesis is restricted. Contact Archives and Rare Books. This paper presents a case study involving a prelingually hearing impaired child with a Nucleus 22 cochlear implant and changes in the child’s ability to use spoken language when the implant was not functioning properly. This study investigates the usefulness of acoustic analyses of vowel productions to document changes in speech production during times when the implant was not working.

Comparison of speech processor MAP minimum (T) and maximum (C) levels with psychophysical thresholds and maximum acceptable loudness levels in users of the Nucleus 22 cochlear implant system

This paper discusses the Nucleus 22 cochlear implant.

Narration for instructional video: operation and maintenance of the Nucleus 22 Channel Cochlear Implant

This paper presents the narration for an educational video on cochlear implants and the implantation process aimed at parents and teachers of hearing-impaired children.

Phoneme analysis of cochlear implant recipients' responses to CNC words using the MPEAK and SPEAK speech coding strategies of the Nucleus cochlear implant system

This paper discusses a study done to determine how cochlear implant users perceive speech sounds using MPEAK or SPEAK speech coding strategy.

Comparison of NRT based MAPs and preferred MAPs in adult Nucleus CI24 cochlear implant users

Comparison of subjects' preferred MAPs worn in everyday life and MAPs created using electrically evoked compound action potentials using neural response telemetry measures in adult Nucleus CI24 implant users.

Evaluation of multiple speech processing combinations in the Cochlear Nucleus 5 cochlear implant system using R-Space simulation

Difficulty understanding speech in the presence of background noise is a common report among cochlear implant recipients. The purpose of this research is to evaluate speech processing options currently available in the Cochlear Nucleus 5 sound processor to determine the best option for improving speech recognition in noise.