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  4. A Fully-Implantable Cochlear Implant SoC With Piezoelectric Middle-Ear Sensor and Arbitrary Waveform Neural Stimulation

A Fully-Implantable Cochlear Implant SoC With Piezoelectric Middle-Ear Sensor and Arbitrary Waveform Neural Stimulation

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Author(s)
Nakajima, Hideko Heidi
•
Stankovic, Konstantina M.
•
Yip, Marcus
•
Jin, Rui
•
Chandrakasan, Anantha P
Date Issued
September 2014
Journal
IEEE Journal of Solid-State Circuits
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Yip, Marcus; Jin, Rui; Nakajima, Hideko Heidi et al. “A Fully-Implantable Cochlear Implant SoC With Piezoelectric Middle-Ear Sensor and Arbitrary Waveform Neural Stimulation.” IEEE Journal of Solid-State Circuits 50, 1 (January 2015): 214–229 © 2015 Institute of Electrical and Electronics Engineers (IEEE)
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Author's final manuscript
Abstract
A system-on-chip for an invisible, fully-implantable cochlear implant is presented. Implantable acoustic sensing is achieved by interfacing the SoC to a piezoelectric sensor that detects the sound-induced motion of the middle ear. Measurements from human cadaveric ears demonstrate that the sensor can detect sounds between 40 and 90 dB SPL over the speech bandwidth. A highly-reconfigurable digital sound processor enables system power scalability by reconfiguring the number of channels, and provides programmable features to enable a patient-specific fit. A mixed-signal arbitrary waveform neural stimulator enables energy-optimal stimulation pulses to be delivered to the auditory nerve. The energy-optimal waveform is validated with in-vivo measurements from four human subjects which show a 15% to 35% energy saving over the conventional rectangular waveform. Prototyped in a 0.18 μm high-voltage CMOS technology, the SoC in 8-channel mode consumes 572 μW of power including stimulation. The SoC integrates implantable acoustic sensing, sound processing, and neural stimulation on one chip to minimize the implant size, and proof-of-concept is demonstrated with measurements from a human cadaver ear.
MIT Department
Massachusetts Institute of Technology. Microsystems Technology Laboratories
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/110784
DOI of Published Version
https://doi.org/10.1109/jssc.2014.2355822
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