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Asynchronous event-driven encoder with simultaneous temporal envelope and phase extraction for cochlear implants

Asynchronous event-driven encoder with simultaneous temporal envelope and phase extraction for cochlear implants
Asynchronous event-driven encoder with simultaneous temporal envelope and phase extraction for cochlear implants
Conventional cochlear implants using periodic sampling are power consuming and incapable of capturing the amplitude and phase of the input acoustic signal simultaneously. This paper presents an asynchronous event-driven encoder chip for cochlear implants capable of extracting the temporal fine structure. The chip architecture is based on asynchronous delta modulation (ADM) where the signal peak/trough crossing events are captured and digitized intrinsically, which has the advantages of significantly reduced power consumption, reduced circuit area, and the elimination of dedicated data compression circuitry. An 8-channel prototype chip was fabricated in 0.18 μm 1P6M CMOS process, occupying an area of 0.125 × 1.7 mm2 and has a power consumption of 36.2 μW from a 0.6V supply. A 16-channel stimulation encoding system was built by integrating two test chips, capable of processing the entire audible frequency range from 100 Hz to 10 kHz. Experimental characterization using the human voice is provided to corroborate functionality in the application environment.
Acoustics, Asynchronous delta modulator (ADM), Cochlear implants, Data mining, Encoding, Frequency modulation, Hardware, Power demand, cochlear implant, event-driven, low power, temporal fine structure
1932-4545
620-630
Guo, Nan
0e291c53-6db0-4edb-931d-df2e11aa7bc0
Wang, Shiwei
97433cb6-7752-4c68-89f8-933f233d8642
Genov, Roman
64ea00f8-4eca-43b4-a104-b3a5cb600b80
Wang, Lei
dc30e8c5-2a88-4243-a525-f3f1625acf11
Ho, Derek
58d1424b-cdd6-4e49-aa92-568e5b65ac76
Guo, Nan
0e291c53-6db0-4edb-931d-df2e11aa7bc0
Wang, Shiwei
97433cb6-7752-4c68-89f8-933f233d8642
Genov, Roman
64ea00f8-4eca-43b4-a104-b3a5cb600b80
Wang, Lei
dc30e8c5-2a88-4243-a525-f3f1625acf11
Ho, Derek
58d1424b-cdd6-4e49-aa92-568e5b65ac76

Guo, Nan, Wang, Shiwei, Genov, Roman, Wang, Lei and Ho, Derek (2020) Asynchronous event-driven encoder with simultaneous temporal envelope and phase extraction for cochlear implants. IEEE Transactions on Biomedical Circuits and Systems, 14 (3), 620-630, [9072503]. (doi:10.1109/TBCAS.2020.2988489).

Record type: Article

Abstract

Conventional cochlear implants using periodic sampling are power consuming and incapable of capturing the amplitude and phase of the input acoustic signal simultaneously. This paper presents an asynchronous event-driven encoder chip for cochlear implants capable of extracting the temporal fine structure. The chip architecture is based on asynchronous delta modulation (ADM) where the signal peak/trough crossing events are captured and digitized intrinsically, which has the advantages of significantly reduced power consumption, reduced circuit area, and the elimination of dedicated data compression circuitry. An 8-channel prototype chip was fabricated in 0.18 μm 1P6M CMOS process, occupying an area of 0.125 × 1.7 mm2 and has a power consumption of 36.2 μW from a 0.6V supply. A 16-channel stimulation encoding system was built by integrating two test chips, capable of processing the entire audible frequency range from 100 Hz to 10 kHz. Experimental characterization using the human voice is provided to corroborate functionality in the application environment.

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More information

Accepted/In Press date: 13 April 2020
e-pub ahead of print date: 20 April 2020
Published date: June 2020
Keywords: Acoustics, Asynchronous delta modulator (ADM), Cochlear implants, Data mining, Encoding, Frequency modulation, Hardware, Power demand, cochlear implant, event-driven, low power, temporal fine structure

Identifiers

Local EPrints ID: 446054
URI: http://eprints.soton.ac.uk/id/eprint/446054
ISSN: 1932-4545
PURE UUID: 390eed6e-6ae4-44dd-b0fb-9f1b14af5996
ORCID for Shiwei Wang: ORCID iD orcid.org/0000-0002-5450-2108

Catalogue record

Date deposited: 19 Jan 2021 17:34
Last modified: 26 Nov 2021 03:23

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Contributors

Author: Nan Guo
Author: Shiwei Wang ORCID iD
Author: Roman Genov
Author: Lei Wang
Author: Derek Ho

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