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 92 for “"electroencephalogram (EEG)"”.
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Mutual information derived functional connectivity of the electroencephalogram (EEG)
… methods of detecting networks in the recorded EEG such as correlation and coherence are limited by the fact that they assume stationarity of the relationship between channels, and rely on linear dependencies. Here we utilize mutual information (MI) as the metric for determining nonlinear …
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Classification of electroencephalogram (EEG) for lower limb movement of post stroke patients using artificial neural network (ANN)
Nowadays, many neurological conditions happen suddenly, such as stroke or spinal cord injury. This can cause chronic gait function impairment due to functional deficits in motor control. Current physiotherapy techniques such as functional electrical stimulation (FES) can be used to reconstruct some …
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A Consensus Model for Electroencephalogram Data Via the S-Transform
… we will consider 32 signals produced by a single electroencephalogram (EEG) recording session. The consensus model will be produced by using the S-Transform of the individual signals and then normalized to unit energy. A bootstrapping process is used to produce a consensus spectrum. This leads to …
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The effects of time of day and circadian rhythm on performance during variable levels of cognitive workload
… the participants to engage in multitasking while electroencephalogram (EEG) data was collected to objectively measure participants’ workload. Task demands were altered throughout the testing period to expose participants to both high and low workload conditions. Additionally, individual …
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Pinky : interactively analyzing large EEG datasets
… implemented for interactively analyzing large electroencephalogram (EEG) datasets. Trained experts, known as encephalographers, analyze EEG data to determine if a patient has experienced an epileptic seizure. Since EEG analysis is time intensive for large datasets, there is a growing corpus of …
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Investigation of the interaction between corticomuscular coherence, motor precision and perceived difficulty in wrist flexion and extension
… frequency specific temporal coupling between the electroencephalogram (EEG) and electromyogram (EMG) recorded during isometric force production, reflects the functional connectivity between cortex and muscle. A single muscle (flexor digitorum superficialis) study suggests a positive correlation …
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Relaxed mental state detection using the Emotiv Epoc and Adaptive Threshold Algorithms
<p>The electroencephalogram (EEG) has proven to be useful in a wide variety of applications, including: diagnosis of mental disorders, psychological research, neurofeedback, and brain-computer interfacing. Most such applications of the EEG benefit from an ability to automatically detect when the …
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Improving Golf Putt Performance with Statistical Learning of EEG Signals
… the putt outcomes of golfers based on their electroencephalogram (EEG) data. The method can be used as a core building block of a brain-computer interface, which is designed to provide guidance to golf players based on their EEG patterns. The proposed method includes three steps. First, …
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An Energy-Efficient Spiking CNN Implementation for Cross-Patient Epileptic Seizure Detection
… temporal features learned from multichannel electroencephalogram (EEG) time-series data. In this approach, we utilize an algorithm that seeks to capture spectral, temporal, and spatial information in order to achieve high generalization. This algorithm's initial step is to convert EEG signals …
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An EEG Study on Loneliness and Recognition Memory
… responses, completed an associative memory task. EEG was used to assess recognition memory effects. Results showed no significant difference in both behavioral and ERP recognition memory effects between lonely groups, showing that lonelier individuals had no specific recollection-based recognition …
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Shyness and Internalizing Problems in Middle Childhood: The Moderating Role of Attentional Control, Inhibitory Control, and Frontal EEG Asymmetry
… control (AC), inhibitory control (IC), frontal electroencephalogram (EEG) asymmetry were measured at both 6 and 9 years using age appropriate questionnaires and tasks. Results indicated that age 6 shyness did not directly predict age 9 IP; instead it indirectly predicted IP through age 9 …
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Individual Differences in Preschool Aged Children's Inhibitory Control: Adding Borders to the Day/Night Task
… task commonly used with adults. In addition, electroencephalogram (EEG) illuminated the neural patterns of the task in children at age four. This study demonstrated that the borders condition of the day/night task is an appropriate executive function task that can be used with preschool aged …
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Stacked generalization for early diagnosis of Alzheimer's disease
… and other signal processing methods to analyze EEG signals in an attempt to find a noninvasive biomarker for AD. In this study, multiresolution wavelet analysis was performed on event related potentials (ERPs) of electroencephalogram (EEG) signals. Extracted feature sets were then used to train …
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Implementation of an AI-assisted sonification algorithm on an edge device
… professionals with the necessary expertise for Electroencephalogram (EEG) analysis leads to significant delays in decision-making and hence treatment. These problems are made worse in disadvantaged communities. Artificial intelligence (AI) techniques have been proposed to automate the process …
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Rekurentinių diagramų tipo metodai elektroencefalogramų analizei /
… There was an analysis of 8, 16, 32-sec-long electroencephalogram (EEG) fragments performed in this work. The statistical analysis showed differences between the two patient groups. The best classification result was achieved with EEG fragments of 16 s. SVM classifier showed an accuracy of …
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The Sleep, Inhibition, and Performance (SIP) study: An ERP investigation of sleep, stress, and response inhibition in early childhood
… IC was assessed with a continuous 64-channel electroencephalogram (EEG) recording during an auditory oddball-Go/No-Go task. Primary outcomes included No-Go P3 amplitude and latency at fronto-central sites. Analysis: Due to EEG data loss, 13 participants were retained for electrophysiological …
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The facial inversion effect throughout healthy adult aging : an event-related brain potential study
… for the early detection of dementia is ongoing. Electroencephalogram (EEG) research, along with other neuroimaging and clinical testing, has shown that it is possible to detect subtle changes to the central nervous system before the onset of behavioral changes due to dementia. In this research, a …
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Personality, Affect and EEG: An Integration of Three Models to Predict Neural Patterns of Activity
… individual differences in frontal and posterior electroencephalogram (EEG) alpha were associated with basic dimensions of personality, extraversion and neuroticism. A theoretical model proposed that extraversion and neuroticism (measured by the NEO-PI-R) were related to the affect circumplex and …
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Multimodal neuroimaging with simultaneous electroencephalogram and high-field functional magnetic resonance imaging
Simultaneous recording of electroencephalogram (EEG) and functional magnetic resonance imaging (tMRI) is an important emerging tool in functional neuroimaging with the potential to reveal new mechanisms for brain function by combining the high spatial resolution of fMRI with the high temporal …
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The psychophysiology of risk processing and decision making at a regional stock exchange
… volume pulse (BVP), electrocardiogram (ECG), electroencephalogram (EEG), electromyogram (EMG), and temperature (Temp)-of monetarily motivated professionals making high pressure decisions. From these signals I estimate underlying physiological features, such as heart rate, changes in body …
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