Using an interactive evolutionary algorithm to help fitting a cochlear implant

Bourgeois-Republique, Claire; Frachet, Bruno; Collet, Pierre

doi:10.1145/1102256.1102287

Cited by 4 publications

(5 citation statements)

References 7 publications

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“…thesis of the Université de Bourgogne. These results have already been presented in several papers [6,7,8].…”

Section: Methodssupporting

confidence: 75%

“…One is to help the expert find good fittings using an IEA [6], and another is to integrate into the processor a small signal analysis software that would be able to recognise the sound environment and automatically select a fitting accordingly, among a set of available fittings corresponding to different situations. In order to achieve this second task, several stages must be performed:…”

Section: Classification Of Sound Environmentsmentioning

confidence: 99%

“…This code travels along a cable (3) to the transmitting coil (4) and is sent across the skin via frequency modulated (FM) electro-magnetic waves to the implant package (5). Based on characteristics of the code transmitted to the internal device, electrode contacts within the cochlea (6) provide electrical stimulation to the spiral ganglion cells and dendrites extending into the modiolus. Electrical impulses then travel along the auditory nerve (7), ascending auditory pathways to the brain Hence, it seems interesting to use an interactive evolutionary algorithm (IEA) to help finding the best values for implant parameters.…”

Section: Introductionmentioning

confidence: 99%

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Interactive evolution for cochlear implants fitting

Legrand

Bourgeois-Republique

Péan³

et al. 2007

Genet Program Evolvable Mach

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“…thesis of the Université de Bourgogne. These results have already been presented in several papers [6,7,8].…”

Section: Methodssupporting

confidence: 75%

Section: Classification Of Sound Environmentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Interactive evolution for cochlear implants fitting

Legrand

Bourgeois-Republique

Péan³

et al. 2007

Genet Program Evolvable Mach

Self Cite

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“…To fit a speech processor optimally to each implant patient, it is important to understand which of BWSP's parameters are most important and how errors in their adjustment might affect speech understanding. Each user of CI has to be individually fitted or mapped with active electrodes and their stimulation levels to ensure safe and effective electric stimulation [14][15][16]. The use of electric stimulation requires the determination of (i) minimum amplitude that the patient (the user of CI) detects and perceives as sound, and (ii) maximum tolerable amplitude that can be used harmlessly.…”

Section: Introductionmentioning

confidence: 99%

Clinical programming software to manage patient's data with a Cochlear implantat

Rao

Ramaiah

Kumar

2013

SIGSOFT Softw. Eng. Notes

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Auditory prostheses (AP) using Cochlear Implant System a.k.a bionic ears are widely used electronic devices that electrically stimulate the auditory nerve using an electrode array, surgically placed in the inner ear for patients suffering from severe to profound senosorineural deafness. The AP mainly contains an external Body Worn Speech Processor (BWSP) and an internal Implantable Receiver Stimulator (IRS). The BWSP receives an external sound or speech and generates encoded speech data bits for transmission to the IRS via a Radio Frequency transcutaneous link to excite the electrode array. After surgical placement of the electrode array in the inner ear, the BWSP should be fine-tuned to achieve the 80 to 100% speech reception abilities of the patient by an audiologist using Clinical Programming Software (CPS). The tuning process involves several tasks such as identifying the active electrode contacts, determining the detection and pain threshold of each active electrode, and loading these values into BWSP by reprogramming the BWSP. The main objective of this paper is to describe a simple personal-computer based, user-friendly CPS, which fine tunes the BWSP to achieve the best possible speech reception abilities of each patient and to perform post-operative fitting procedures by an audiologist. The CPS was developed to perform the post-operative fine tuning procedures such as (i) measurement of electrode tissue impedance, (ii) fitting to determine the hearing threshold and comfort levels for each active electrode, and (iii) reprogramming the speech processor using the identified threshold and comfort values. Finally, experimental results are presented.

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“…Each user of CI has to be individually fitted or mapped with active electrodes and their stimulation levels to ensure safe and effective electric stimulation [9][10][11] . The use of electric stimulation requires the determination of (i) minimum amplitude that the patient (the user of CI) detects and perceives as sound and (ii) maximum tolerable amplitude that can be used harmlessly.…”

Section: Introductionmentioning

confidence: 99%

Personal Computer Based Clinical Programming Software for Auditory Prostheses

Rajakumar¹,

Ramaiah²

2009

J. of Computer Science

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Auditory Prostheses (AP) are widely used electronic devices for patients suffering with severe to profound senosorineural deafness by electrically stimulating the auditory nerve using an electrode array surgically placed in the inner ear. AP mainly contains external Body Worn Speech Processor (BWSP) and internal Implantable Receiver Stimulator (IRS). BWSP receives an external sound or speech and generates encoded speech data bits for transmission to IRS via radio frequency transcutaneous link for excitation of electrode array. After surgical placement electrode array in the inner ear, BWSP should be fine tuned to achieve the 80-100% speech reception abilities of patient by an audiologist. Problem statement: Basic objective of this research was to develop a simple personal computer based user friendly hardware and software interface to fine tune the BWSP to achieve the best possible speech reception abilities of each individual patient. Approach: Tuning process involved several tasks such as identifying the active electrode contacts, determination of detection and pain thresholds of each active electrode and loads these values into BWSP by reprogramming the BWSP. This study contracted with development of easy and simple user friendly hardware and software interface for audiologist to perform post operation tuning procedures. A microcontroller based impedance telemetry with bidirectional RF transceiver was developed as a hardware interface between PC and IRS. The clinical programming software was developed using VB.NET 2008 to perform the postoperative tuning procedures such as (i) impedance measurement, (ii) fitting to determine the threshold and comfort levels for each active electrodes and (iii) reprogramming the speech processor. Results: Simple hardware and software interfaces for audiologist were constructed and tested with laboratory model BWSP and IRS using simulated resistance electrode array. All the functional aspects were tested and results were enumerated. Conclusion: Clinical application software had been developed for AP used in postoperative fitting procedure used by the audiologists. Software is readily available for use after the laboratory model of BWSP and IRS are available as final product.

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Using an interactive evolutionary algorithm to help fitting a cochlear implant

Cited by 4 publications

References 7 publications

Interactive evolution for cochlear implants fitting

Interactive evolution for cochlear implants fitting

Clinical programming software to manage patient's data with a Cochlear implantat

Personal Computer Based Clinical Programming Software for Auditory Prostheses

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