Bio-inspired active amplification in a MEMS microphone using feedback computation

Guerreiro, José and Reid, Andrew and Jackson, Joseph C. and Windmill, James F.C. (2017) Bio-inspired active amplification in a MEMS microphone using feedback computation. In: IEEE Biomedical Circuits and Systems Conference 2017. IEEE, Piscataway, NJ. (In Press)

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    Abstract

    Auditory signal processing relies on feedback mechanisms between mechanical and electrical systems that work together to enhance acoustic conditioning. In this paper a nonlinear amplification mechanism in the mosquito's auditory system is exploited as a model of inspiration. An acoustic system that provides active amplification of sound was developed using feedback computation integrated with a MEMS microphone to implement the concept. Experimental results generated by a purpose-built embedded system show signal amplification and hysteresis which replicate the response shown by the biological mosquito’s hearing system as a function of input sound intensity.

    Author(s):Guerreiro, José ORCID logoORCID: https://orcid.org/0000-0002-9187-0436, Reid, Andrew ORCID logoORCID: https://orcid.org/0000-0003-0511-4640, Jackson, Joseph C. and Windmill, James F.C. ORCID logoORCID: https://orcid.org/0000-0003-4878-349X
    Item type:Book Section
    ID code:62300
    Notes:© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Keywords:bio-inspired acoustic sensor system, active hearing, signal amplification, feedback computation, real-time embedded signal processing, prototyping, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Technology and Innovation Centre > Sensors and Asset Management
    Depositing user: Pure Administrator
    Date deposited:09 Nov 2017 12:23
    Last modified:06 Dec 2019 04:32
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/62300
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