EPSRC Reference: |
EP/M026914/1 |
Title: |
Graphene Micro-sensors for Adaptive Acoustic Transduction (GMAAT) |
Principal Investigator: |
Cheung, Professor R |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Sch of Engineering |
Organisation: |
University of Edinburgh |
Scheme: |
Standard Research - NR1 |
Starts: |
01 September 2015 |
Ends: |
08 November 2017 |
Value (£): |
477,577
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EPSRC Research Topic Classifications: |
Music & Acoustic Technology |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
Panel Date | Panel Name | Outcome |
10 Mar 2015
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Hearing Aid Technologies
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Announced
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Summary on Grant Application Form |
This project aims to develop novel acoustic transduction technology for use in hearing aids. The
key proposition is to use an ultra thin-film membrane (graphene) as the vibrating mechanical
component in a resonant gate transistor (RGT). Such a sensor will provide direct transduction of
acoustical vibrations in air, via vibrations of the membrane, to an electrical signal within the
underlying transistor. Main advantages of such an approach include adaptive gain control,
selective frequency tuneability, improved signal to noise performance over conventional
transducers and multi-channel scalability.
The proposed system, made using microelectromechanical systems (MEMS) fabrication
processes, also lends itself particularly well to direct incorporation within a wider integrated circuit
design that will provide both signal processing and real-time tuning and gain control capabilities.
Eventually, a fully integrated parallel system is proposed that will see an array of transducers, each
acoustically/mechanically/electrically tuned to a narrow portion of the auditory bandwidth and
capable of real-time gain and frequency response control.
Such a system will provide cochlea-inspired gain control and, where desired,
frequency selectivity at the point of transduction, leading to improved signal to noise
performance and opening up a range of novel signal processing possibilities.
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Key Findings |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.ed.ac.uk |