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Biomedical signal filtering for noisy environments

Nyhof, Luke 2014, Biomedical signal filtering for noisy environments, Ph.D. thesis, Centre for Intelligence Systems Research, Deakin Univeristy.

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Title Biomedical signal filtering for noisy environments
Author Nyhof, Luke
Institution Deakin Univeristy
School Centre for Intelligence Systems Research
Faculty Strategic Research Centre
Degree type Research doctorate
Degree name Ph.D.
Thesis advisor Nahavandi Saeid
Date submitted 2014-12
Keyword(s) medical imaging
electroencephalograph (EEG)
multi-source noise
noise filter
Summary  Luke's work addresses issue of robustly attenuating multi-source noise from surface EEG signals using a novel Adaptive-Multiple-Reference Least-Means-Squares filter (AMR-LMS). In practice, the filter successfully removes electrical interference and muscle noise generated during movement which contaminates EEG, allowing subjects to maintain maximum mobility throughout signal acquisition and during the use of a Brain Computer Interface.
Language eng
Field of Research 091007 Manufacturing Robotics and Mechatronics (excl Automotive Mechatronics)
Socio Economic Objective 970109 Expanding Knowledge in Engineering
Description of original xxiv, 187 pages : illustrations, tables
Copyright notice ┬ęThe Author. All Rights Reserved
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30079016

Document type: Thesis
Collections: Higher degree theses (full text)
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Created: Thu, 15 Oct 2015, 14:41:09 EST by Kate Percival

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.