A Fully-Implantable Cochlear Implant SoC With Piezoelectric Middle-Ear Sensor and Arbitrary Waveform Neural Stimulation
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 ca...
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2017
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| Online Access: | http://hdl.handle.net/1721.1/110784 https://orcid.org/0000-0002-5977-2748 |
| _version_ | 1811081264615129088 |
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| author | Nakajima, Hideko Heidi Stankovic, Konstantina M. Yip, Marcus Jin, Rui Chandrakasan, Anantha P |
| author2 | Massachusetts Institute of Technology. Microsystems Technology Laboratories |
| author_facet | Massachusetts Institute of Technology. Microsystems Technology Laboratories Nakajima, Hideko Heidi Stankovic, Konstantina M. Yip, Marcus Jin, Rui Chandrakasan, Anantha P |
| author_sort | Nakajima, Hideko Heidi |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T11:44:00Z |
| format | Article |
| id | mit-1721.1/110784 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:44:00Z |
| publishDate | 2017 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1107842022-10-01T05:37:49Z A Fully-Implantable Cochlear Implant SoC With Piezoelectric Middle-Ear Sensor and Arbitrary Waveform Neural Stimulation Nakajima, Hideko Heidi Stankovic, Konstantina M. Yip, Marcus Jin, Rui Chandrakasan, Anantha P Massachusetts Institute of Technology. Microsystems Technology Laboratories Yip, Marcus Jin, Rui Chandrakasan, Anantha P 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. 2017-07-20T14:22:56Z 2017-07-20T14:22:56Z 2014-09 2014-07 Article http://purl.org/eprint/type/JournalArticle 0018-9200 1558-173X http://hdl.handle.net/1721.1/110784 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) https://orcid.org/0000-0002-5977-2748 en_US http://dx.doi.org/10.1109/jssc.2014.2355822 IEEE Journal of Solid-State Circuits Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) PMC |
| spellingShingle | Nakajima, Hideko Heidi Stankovic, Konstantina M. Yip, Marcus Jin, Rui Chandrakasan, Anantha P A Fully-Implantable Cochlear Implant SoC With Piezoelectric Middle-Ear Sensor and Arbitrary Waveform Neural Stimulation |
| title | A Fully-Implantable Cochlear Implant SoC With Piezoelectric Middle-Ear Sensor and Arbitrary Waveform Neural Stimulation |
| title_full | A Fully-Implantable Cochlear Implant SoC With Piezoelectric Middle-Ear Sensor and Arbitrary Waveform Neural Stimulation |
| title_fullStr | A Fully-Implantable Cochlear Implant SoC With Piezoelectric Middle-Ear Sensor and Arbitrary Waveform Neural Stimulation |
| title_full_unstemmed | A Fully-Implantable Cochlear Implant SoC With Piezoelectric Middle-Ear Sensor and Arbitrary Waveform Neural Stimulation |
| title_short | A Fully-Implantable Cochlear Implant SoC With Piezoelectric Middle-Ear Sensor and Arbitrary Waveform Neural Stimulation |
| title_sort | fully implantable cochlear implant soc with piezoelectric middle ear sensor and arbitrary waveform neural stimulation |
| url | http://hdl.handle.net/1721.1/110784 https://orcid.org/0000-0002-5977-2748 |
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