Abstract
We proposed a piezoelectric artificial basilar membrane (ABM) composed of a microelectromechanical system cantilever array. The ABM mimics the tonotopy of the cochlea: frequency selectivity and mechanoelectric transduction. The fabricated ABM exhibits a clear tonotopy in an audible frequency range (2.92-12.6 €‰kHz). Also, an animal model was used to verify the characteristics of the ABM as a front end for potential cochlear implant applications. For this, a signal processor was used to convert the piezoelectric output from the ABM to an electrical stimulus for auditory neurons. The electrical stimulus for auditory neurons was delivered through an implanted intra-cochlear electrode array. The amplitude of the electrical stimulus was modulated in the range of 0.15 to 3.5 €‰V with incoming sound pressure levels (SPL) of 70.1 to 94.8 €‰dB SPL. The electrical stimulus was used to elicit an electrically evoked auditory brainstem response (EABR) from deafened Guinea pigs. EABRs were successfully measured and their magnitude increased upon application of acoustic stimuli from 75 to 95 €‰dB SPL. The frequency selectivity of the ABM was estimated by measuring the magnitude of EABRs while applying sound pressure at the resonance and off-resonance frequencies of the corresponding cantilever of the selected channel. In this study, we demonstrated a novel piezoelectric ABM and verified its characteristics by measuring EABRs.
Original language | English |
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Article number | 12447 |
Journal | Scientific Reports |
Volume | 5 |
DOIs | |
State | Published - 31 Jul 2015 |
Bibliographical note
Funding Information:We thank the Center for Core Research Facilities of DGIST for technical support for MEMS fabrication. The authors are also grateful to Dr. Won Joon Song (Hanbat National University) for help with the acoustic measurement and frequency analysis, Mr. Youngjun Kim (Microtech) for technical support with the signal processor and Han-Joon Kim (DGIST) for assistance with the design of the signal process. Part of the funding for this research was provided by a National Research Foundation of Korea grant funded by the Korean Government (2011-0013638, 2014R1A2A2A01006223, and 2013R1A2A1A09015677) and by DGIST MIREBraiN Project.