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Signal processing for automated EEG quality assessment

HAGGAG, SHERIF 2016, Signal processing for automated EEG quality assessment, PhD. thesis, Institute for Intelligent Systems Research and Innovation, Deakin University.

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Title Signal processing for automated EEG quality assessment
Author HAGGAG, SHERIF
Institution Deakin University
School Institute for Intelligent Systems Research and Innovation
Faculty Institute for Intelligent Systems Research and Innovation
Degree type Research doctorate
Degree name PhD.
Date submitted 2016-02
Keyword(s) Engineering
Neuroscience
Brain Compter Interface
Brain signals
Summary An automated signal quality assessment method was proposed for the EEG signals, which will help in testing new BCI algorithms so that the testing can be made on high quality signals only. This research includes the development of novel feature extraction technique and a new clustering algorithm for EEG signals.
Language eng
Field of Research 099999 - Engineering not elsewhere classified 100%
Socio Economic Objective 970109 - Expanding Knowledge in Engineering 100%
Description of original xiv, 193 pages : tables, figures, some coloured
Copyright notice ┬ęThe Author. All Rights Reserved
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30088806

Document type: Thesis
Collections: Higher degree theses (full text)
Open Access Collection
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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.

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Created: Mon, 14 Nov 2016, 11:14:17 EST by Deb Gray

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.