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 20 of 175 for “"Electroencephalography (EEG)"”.
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Topic Modeling for Inferring Brain States from Electroencephalography (EEG) Signals
<p>Inferring brain states from EEG signals allows for the management of sleep disorders and brain diseases by providing an insight into the electrophysiological state of the brain. We explore the use of topic modeling – which are popular text processing algorithms – to infer brain states from EEG …
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Study on FPGA-based computation units for Ocular Artifact Removal algorithm for multi-channel Electroencephalography (EEG)
… Gate Arrays (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 …
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Phonological and semantic influences on auditory word perception in children with and without reading impairments using magnetoencephalography (MEG) and electroencephalography (EEG)
… in this thesis combined behavioral, MEG, and EEG methods to examine how normal and reading-impaired children, 7-13 years of age, perceive speech under varying degrees of phonological contrast (1 vs. 3 phonetic features). In a series of auditory word perception experiments, good and poor …
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Multimodal integration of EEG and MEG data using minimum ℓ₂-norm estimates
… study the effects of multimodal integration of electroencephalography (EEG) and magnetoencephalography (MEG) data on the minimum ℓ₂-norm estimates of cortical current densities. We investigated analytically the effect of including EEG recordings in MEG studies versus the addition of new MEG …
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Complexity Analysis of Physiological Time Series with Applications to Neonatal Sleep Electroencephalogram Signals
… time series with application 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 …
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Effects of a Pregnancy Lifestyle Intervention on Emotion Regulation in Infants Responding to a Toy Removal Task at One-Year of Age
… can promote optimal ER in infancy. Infant electroencephalography (EEG; n=13) and heart rate variability (HRV; n=18) were measured at rest and in response to a toy removal task, to determine the ER of infants whose mothers participated in a nutrition and exercise intervention during …
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Neural correlates of extended dynamic face processing in neurotypicals
… neurotypical subjects were recorded using the electroencephalography (EEG) while viewing a series of 10 second long video clips. These clips were one of two categories: face or non-face. Modern signal processing and machine learning techniques were applied to the resulting waveforms to …
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An Electroencephalogram Investigation of Two Modes of Reasoning
The use of electroencephalography (EEG) to exam the electrical brain activity associated with reasoning provides an opportunity to quantify the functional and temporal aspects of this uniquely human capability, and at the same time expand our knowledge about what a given event-related potential …
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Decoding belief: neural mechanisms of conspiracy message evaluation
… credibility evaluation. The present study used electroencephalography (EEG) and event-related potentials (ERPs) to examine neural responses during a conspiracy message evaluation task under varying social credibility conditions (high, ambiguous, individual). Participants evaluated conspiracy and …
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Using Real-Time Physiological and Behavioral Data to Predict Students' Engagement during Problem Solving: A Machine Learning Approach
The goal of this study was to evaluate whether Electroencephalography (EEG) estimates of attention and cognitive workload captured as students solved math problems could be used to predict success or failure at solving the problems. Students solved a series of SAT math problems while wearing an EEG …
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Bayesian population inference for effective connectivity
… actual multi-subject functional time series from electroencephalography (EEG) and functional magnetic resonance imaging (fMRI).
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Effect of Levodopa on EEG Connectivity in Parkinson's Patients
… and after taking Levodopa based on resting-state electroencephalography (EEG) recordings to determine how Levodopa affects the functional connectivity of their brain networks. We used several metrics from graph theory, in particular the minimum spanning tree (MST) metric, and analyzed how they …
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The effects of mental training on brain computer interface performance with distractions
… features used to make decisions. Noise in the electroencephalography (EEG) increases the difficulty of acquiring meaningful features. Previous literature suggests teaching subjects meditation and relaxation techniques may improve features relevant to BCI operation. The purpose of this study was …
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What Happened Last Night? Sleep, Sex, and Recollection
… audibly rather than visually. Behavioral data, electroencephalography (EEG), and skin conductance data was collected to assess memory performance, sleep progress, autonomic nervous system activity, and sleep-related behavior. Results indicated a significant interaction effect between condition …
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Integrating Serial Quantitative Imaging with Clinical Data to Predict Brain Hemorrhage Outcomes
… relate these to other clinical, laboratory, and electroencephalography (EEG) measures, to improve our understanding of and ability to predict patient outcomes after SAH.
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Development of a subcortical emphasized physical human head model for evaluation of deep brain source contribution to scalp EEG
Electroencephalography (EEG) technique has been extensively utilized in clinical and research settings for brain disorder related disease monitoring and cognitive science studies. Quantifying EEG rhythms through low resolution brain electromagnetic tomography (LORETA) analysis could further provide …
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Temporal Dynamics at the Neurobehavioral Interface: In Search of a Common Currency
… (MF) via sliding window analyses in both electroencephalography (EEG) activity and subjects’ continuous behavioral assessment of their perceived engagement in different music pieces. The main findings demonstrate significant differences in dynamic MF of both neural and behavioral activity, …
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Life after death : techniques for the prognostication of coma outcomes after cardiac arrest
Electroencephalography (EEG) features are known to predict neurological outcomes of patients in coma after cardiac arrest, but the association between EEG features and outcomes is time-dependent. Recent advances in machine learning allow temporally-dependent features to be learned from the EEG …
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Audiovisual multisensory integration in young adults with and without a diagnosis of Attention-Deficit/Hyperactivity Disorder
… a simple response time (RT) task was completed. Electroencephalography (EEG) analysis revealed that those with ADHD had MSI occur, while there were significant differences in brain activity between groups. Study two employed a two-alternative forced-choice discrimination task. Those with ADHD …
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