Electrochemical impedance spectroscopy of human cochleas for modeling cochlear implant electrical stimulus spread
| Autor: | George G. Malliaras, Chen Jiang, S R de Rijk, Manohar Bance |
|---|---|
| Přispěvatelé: | Jiang, C [0000-0002-6806-5324], de Rijk, SR [0000-0001-7962-5473], Malliaras, GG [0000-0002-4582-8501], Bance, ML [0000-0001-8050-3617], Apollo - University of Cambridge Repository |
| Rok vydání: | 2020 |
| Předmět: |
Materials science
lcsh:Biotechnology Acoustics medicine.medical_treatment Capacitive sensing Bioengineering 02 engineering and technology Stimulus (physiology) 01 natural sciences 4016 Materials Engineering law.invention law lcsh:TP248.13-248.65 Cochlear implant 0103 physical sciences medicine otorhinolaryngologic diseases General Materials Science 4018 Nanotechnology Electrical impedance Cochlea 40 Engineering 010302 applied physics Resistive touchscreen Assistive Technology FOS: Clinical medicine Rehabilitation General Engineering Neurosciences Ear Articles 021001 nanoscience & nanotechnology Perilymph 5104 Condensed Matter Physics lcsh:QC1-999 Electrical network sense organs 0210 nano-technology 51 Physical Sciences lcsh:Physics |
| Zdroj: | Apl Materials APL Materials, Vol 8, Iss 9, Pp 091102-091102-8 (2020) |
| ISSN: | 2166-532X |
| Popis: | Cochlear implants (CIs) have tremendously helped people with severe to profound hearing loss to gain access to sound and oral-verbal communication. However, the electrical stimulus in the cochlea spreads easily and widely, since the perilymph and endolymph (i.e., intracochlear fluids) are essentially electrolytes, leading to an inability to focus stimulation to discrete portions of the auditory nerve, which blurs the neural signal. Here, we characterize the complex transimpedances of human cadaveric cochleas to investigate how electrical stimulus spread is distributed from 10 Hz to 100 kHz. By using electrochemical impedance spectroscopy (EIS), both the resistive and capacitive elements of human cochleas are measured and modeled with an electrical circuit model, identifying spread-induced and spread-independent impedance components. Based on this electrical circuit model, we implement a Laplace transform to simulate the theoretical shapes of the spread signals. The model is validated by experimentally applying the simulated stimulus as a real stimulus to the cochlea and measuring the shapes of the spread signals, with relative errors of |
| Databáze: | OpenAIRE |
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