Developing new techniques to analyse and classify EEG signals

Diykh, Mohammed Abdalhadi (2018) Developing new techniques to analyse and classify EEG signals. [Thesis (PhD/Research)]

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Abstract

A massive amount of biomedical time series data such as Electroencephalograph (EEG), electrocardiography (ECG), Electromyography (EMG) signals are recorded daily to monitor human performance and diagnose different brain diseases. Effectively and accurately analysing these biomedical records is considered a challenge for researchers. Developing new techniques to analyse and classify these signals can help manage, inspect and diagnose these signals.

In this thesis novel methods are proposed for EEG signals classification and analysis based on complex networks, a statistical model and spectral graph wavelet transform. Different complex networks attributes were employed and studied in this thesis to investigate the main relationship between behaviours of EEG signals and changes in networks attributes. Three types of EEG signals were investigated and analysed; sleep stages, epileptic and anaesthesia.

The obtained results demonstrated the effectiveness of the proposed methods for analysing these three EEG signals types. The methods developed were applied to score sleep stages EEG signals, and to analyse epileptic, as well as anaesthesia EEG signals. The outcomes of the project will help support experts in the relevant medical fields and decrease the cost of diagnosing brain diseases.


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Item Type: Thesis (PhD/Research)
Item Status: Live Archive
Additional Information: Doctor of Philosophy (PhD) thesis.
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019)
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019)
Supervisors: Abdulla, Shahab; Saleh, Khalid
Date Deposited: 14 Nov 2018 04:28
Last Modified: 05 Nov 2019 01:13
Uncontrolled Keywords: classification; and analysis; EEG signal
Fields of Research (2008): 09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
Fields of Research (2020): 40 ENGINEERING > 4006 Communications engineering > 400607 Signal processing
URI: http://eprints.usq.edu.au/id/eprint/35121

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