Open Access. Powered by Scholars. Published by Universities.®
Biomedical Engineering and Bioengineering Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 4 of 4
Full-Text Articles in Biomedical Engineering and Bioengineering
Seizure Detection Using Deep Learning, Information Theoretic Measures And Factor Graphs, Bahareh Salafian
Seizure Detection Using Deep Learning, Information Theoretic Measures And Factor Graphs, Bahareh Salafian
Electronic Thesis and Dissertation Repository
Epilepsy is a common neurological disorder that disrupts normal electrical activity in the brain causing severe impact on patients’ daily lives. Accurate seizure detection based on long-term time-series electroencephalogram (EEG) signals has gained vital importance for epileptic seizure diagnosis. However, visual analysis of these recordings is a time-consuming task for neurologists. Therefore, the purpose of this thesis is to propose an automatic hybrid model-based /data-driven algorithm that exploits inter-channel and temporal correlations. Hence, we use mutual information (MI) estimator to compute correlation between EEG channels as spatial features and employ a carefully designed 1D convolutional neural network (CNN) to extract …
A Framework For Evaluating Cortical Architectural Anomalies In Temporal Lobe Epilepsy Patients, Hossein Rajali
A Framework For Evaluating Cortical Architectural Anomalies In Temporal Lobe Epilepsy Patients, Hossein Rajali
Electronic Thesis and Dissertation Repository
Focal cortical dysplasia (FCD) are localized regions of malformed cerebral cortex that are frequently associated with drug-resistant epilepsy. Currently, there is a lack of research towards providing quantitative methods for characterizing minor abnormalities in cortical architecture, hindering efforts to determine whether removal affects surgical outcome, and define potential imaging correlates. In our work, we have developed a tool to extract relevant features associated with cortical architectural abnormalities that can deal with artifacts including cortical layer distortions and morphological differences caused by cortical folding effects, and processing artifacts due to improper sectioning. This framework was applied to detect abnormalities across multiple …
Histological Quantification In Temporal Lobe Epilepsy, Charlotte Anne Blinston
Histological Quantification In Temporal Lobe Epilepsy, Charlotte Anne Blinston
Electronic Thesis and Dissertation Repository
Approximately 30 percent of epilepsy patients suffer from refractory temporal lobe epilepsy which is commonly treated with resection of the epileptogenic tissue. However, surgical treatment presents many challenges in locating the epileptogenic focus and thus not all patients become seizure-free following surgery. Advances in techniques can lead to improved localization of the epileptogenic zone and may be validated by correlating MRI with neuropathology of the excised cortical tissue. Focal cortical dysplasias are a neuropathological group of cortical malformations that are often found in cases of refractory epilepsy, however, they are subtle and difficult to quantify. The purpose of this research …
Multivariate Analysis Of Mr Images In Temporal Lobe Epilepsy, Diego H. Cantor-Rivera
Multivariate Analysis Of Mr Images In Temporal Lobe Epilepsy, Diego H. Cantor-Rivera
Electronic Thesis and Dissertation Repository
Epilepsy stands aside from other neurological diseases because clinical patterns of progression are unknown: The etiology of each epilepsy case is unique and so it is the individual prognosis. Temporal lobe epilepsy (TLE) is the most frequent type of focal epilepsy and the surgical excision of the hippocampus and the surrounding tissue is an accepted treatment in refractory cases, specially when seizures become frequent increasingly affecting the performance of daily tasks and significantly decreasing the quality of life of the patient. The sensitivity of clinical imaging is poor for patients with no hippocampal involvement and invasive procedures such as the …