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Peak-triggered sampling circuitry for a fine-structure-aware cochlear implant

Peak-triggered sampling circuitry for a fine-structure-aware cochlear implant
Peak-triggered sampling circuitry for a fine-structure-aware cochlear implant
This paper presents a peak-triggered sampling scheme for future cochlear implants that aim to reserve temporal fine structure in the neural stimulation pulses. To address the low-power and small-area challenge for such application, the asynchronous delta modulation techniques are used to implement the scheme in VLSI circuitry. Simulation results show that the proposed circuitry achieves the required stimulation encoding function with less than 7μW power consumption and only 0.004mm2 area occupation, which makes it a promising candidate to implement future fine-structure-aware cochlear implant stimulation strategy.
31-34
Lu, Cheng-kai
f15accf3-7ba4-4386-bf13-fec1120540c0
Wang, Shiwei
97433cb6-7752-4c68-89f8-933f233d8642
Lu, Cheng-kai
f15accf3-7ba4-4386-bf13-fec1120540c0
Wang, Shiwei
97433cb6-7752-4c68-89f8-933f233d8642

Lu, Cheng-kai and Wang, Shiwei (2017) Peak-triggered sampling circuitry for a fine-structure-aware cochlear implant. TENCON 2017 - 2017 IEEE Region 10 Conference, Penang. 05 - 08 Nov 2017. pp. 31-34 . (doi:10.1109/TENCON.2017.8227831).

Record type: Conference or Workshop Item (Paper)

Abstract

This paper presents a peak-triggered sampling scheme for future cochlear implants that aim to reserve temporal fine structure in the neural stimulation pulses. To address the low-power and small-area challenge for such application, the asynchronous delta modulation techniques are used to implement the scheme in VLSI circuitry. Simulation results show that the proposed circuitry achieves the required stimulation encoding function with less than 7μW power consumption and only 0.004mm2 area occupation, which makes it a promising candidate to implement future fine-structure-aware cochlear implant stimulation strategy.

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More information

Published date: November 2017
Venue - Dates: TENCON 2017 - 2017 IEEE Region 10 Conference, Penang, 2017-11-05 - 2017-11-08

Identifiers

Local EPrints ID: 446103
URI: http://eprints.soton.ac.uk/id/eprint/446103
PURE UUID: 3db56e8c-bc8a-4acb-8ab5-3636d8467b83
ORCID for Shiwei Wang: ORCID iD orcid.org/0000-0002-5450-2108

Catalogue record

Date deposited: 20 Jan 2021 17:32
Last modified: 27 Aug 2021 02:00

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Contributors

Author: Cheng-kai Lu
Author: Shiwei Wang ORCID iD

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