A novel approach to compute the impedance matrix of a cochlear implant system incorporating an electrode-tissue interface based on finite element method

Choi, C.T.M.; Lai, Wei-Dian; Lee, Sih-Sian

doi:10.1109/tmag.2006.872461

Cited by 14 publications

(11 citation statements)

References 6 publications

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“…Values obtained for the intra-cochlear voltage were in agreement with clinical measurements (within the range 0.19-0.35 V for a stimulus of 300 cu, equivalent to 300 μA approximately). Normalizing the intra-cochlear voltage with the current injected, obtained impedance values were in concordance with EFI (Electric Field Image) measurements from patients reported on previous studies [41][42][43]. In addition, telemetry measurements, such as eCAP recordings, indicate that neural activation in ANF is initiated at 333±114…”

Section: Discussionsupporting

confidence: 85%

Towards a Complete In Silico Assessment of the Outcome of Cochlear Implantation Surgery

et al. 2017

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Cochlear implantation (CI) surgery is a very successful technique, performed on more than 300,000 people worldwide. However, since the challenge resides in obtaining an accurate surgical planning, computational models are considered to provide such accurate tools. They allow us to plan and simulate beforehand surgical procedures in order to maximally optimize surgery outcomes, and consequently provide valuable information to guide pre-operative decisions. The aim of this work is to develop and validate computational tools to completely assess the patient-specific functional outcome of the CI surgery. A complete automatic framework was developed to create and assess computationally CI models, focusing on the neural response of the auditory nerve fibers (ANF) induced by the electrical stimulation of the implant. The framework was applied to evaluate the effects of ANF degeneration and electrode intra-cochlear position on nerve activation. Results indicate that the intra-cochlear positioning of the electrode has a strong effect on the global performance of the CI. Lateral insertion provides better neural responses in case of peripheral process degeneration, and it is recommended, together with optimized intensity levels, in order to preserve the internal structures. Overall, the developed automatic framework provides an insight into the global performance of the implant in a patient-specific way. This enables to further optimize the functional performance and helps to select the best CI configuration and treatment strategy for a given patient.

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Section: Discussionsupporting

confidence: 85%

Towards a Complete In Silico Assessment of the Outcome of Cochlear Implantation Surgery

et al. 2017

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“…Suesserman and Spelman presented a series of articles on the evaluation of electrical impedances through inner ear tissue. The construction of intracochlear impedance models has also been proposed by Vanpoucke et al and Choi et al There are several methods of measuring impedance in a CI, which are based on how the current sources and sinks are configured. A study by Jolly et al examined potential values in monopolar, bipolar, and quadrupolar stimulation modes.…”

Section: Introductionmentioning

confidence: 99%

Detection of modiolar proximity through bipolar impedance measurements

et al. 2016

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“…It was shown that the charge transfer resistance was the source of the observed non-linear behavior. Choi et al (2006) demonstrated the significance of the electrode-tissue interface though a computational study. Three models of a cochlea, circular with half turns, circular with one turn, and spiral with one turn, were studied.…”

Section: Modelling Electrode-tissue Interfacementioning

confidence: 98%

Computer modelling of the cochlea and the cochlear implant: A review

Agrawal

Newbold

2012

Cochlear Implants International

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In the last few decades, cochlear implants have experienced major developments with intensive studies carried out through experimental and computational analysis. With the rapid increase in computational resources available and the development of efficient computational techniques, computer models of the cochlea and the cochlear implant have become more sophisticated. It is now possible to analyze the micromechanics of the cochlea and the transient response of tissue to external stimulation. This study reviews the major developments in cochlear models, summarizes, and categorizes features of models used in different studies and makes recommendations for future development. The paper is classified into four sections detailing features of the cochlear models, electrodes, electrical stimulation, and software used in different studies. The paper highlights unexplored areas in the model design and suggests additions to develop a better computer model.

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A novel approach to compute the impedance matrix of a cochlear implant system incorporating an electrode-tissue interface based on finite element method

Cited by 14 publications

References 6 publications

Towards a Complete In Silico Assessment of the Outcome of Cochlear Implantation Surgery

Towards a Complete In Silico Assessment of the Outcome of Cochlear Implantation Surgery

Detection of modiolar proximity through bipolar impedance measurements

Computer modelling of the cochlea and the cochlear implant: A review

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