Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"EEG Signal Processing"”.
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EEG signal processing in brain-computer interface
… activities is produced. Electroencephalography (EEG) is one way of measuring and recording of the electrical signals produced by these electrical activities via some sensor arrays across the scalp. Although there is plentiful research in using EEG technology in the fields of neuroscience and …
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Hypoxic-ischemic encephalopathy grading using novel EEG signal processing and machine learning techniques
… hypoxic-ischemic insult. Electroencephalogram (EEG) is the gold standard for analysing brain pathologies for neonates and large windows of this complex signal must be assessed for accurate HIE diagnosis. Using an openly available dataset, this thesis proposes an automated approach for HIE …
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Investigation into Stand-alone Brain-computer Interfaces for Musical Applications
… uses a dry and wireless electroencephalogram (EEG) headset to detect neural activity. It adopts a paradigm called steady state visually evoked potential (SSVEP) to provide the user with control. It aims to encapsulate all braincomputer music interface (BCMI)-based operations into a stand-alone …
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Complexity Analysis of Physiological Time Series with Applications to Neonatal Sleep Electroencephalogram Signals
… to neonatal sleep electroencephalography (EEG) signals. Complexity analysis is applied to two clinical data sets of neonatal sleep Electroencephalography(EEG) time series, to uncover the evolution of signal dynamics and its relationship to neurodevelopment and maturation. A review of the …
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Study on FPGA-based computation units for Ocular Artifact Removal algorithm for multi-channel Electroencephalography (EEG)
… (FPGA) for multi-channel electroencephalography (EEG) signals. The primary objective is to analyze the mathematical representation of the ocular artifact removal algorithm and convert it to hardware implementable computational modules. Input is taken from an existing scalp EEG recording dataset …
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A domain-general perspective on medial frontal brain activity during performance monitoring
… advanced methods for electroencephalography (EEG) signal processing and robust estimation statistics for hypothesis testing. In study 1, we designed a response cueing task and used Independent Component Analysis (ICA) to show that the latent factors describing a MFN to stimuli that cued the …
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Investigation and Modelling of Fetal Sheep Maturation
… of these models to generate the discontinuous EEG waves in the immature cortex. Visual inspection of the ECoG time-series shows that the third-trimester of fetal sheep is comprised of two stages: early third-trimester characterised by bursting activity separated by silent intervals, and late …
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Signal Processing of Electroencephalogram for the Detection of Attentiveness towards Short Training Videos
… dry electrode wireless electroencephalogram (EEG) collection device as an input to an automated system that measures indicators of a participant’s attentiveness while they are watching a short training video. The results are promising, including 85% or better accuracy in identifying whether a …
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Signal Processing Methods for Reliable Extraction of Neural Responses in Developmental EEG
… in newborns and infants. Electroencephalography (EEG) is one of the most optimal neuroimaging technique to investigate neurocognitive functions in human newborns because it is non-invasive and quick and easy to mount on the head. Since EEG offers a versatile design with custom number of …