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Engineering Approaches for Improving Cortical Interfacing and Algorithms for the Evaluation of Treatment Resistant Epilepsy


Abstract Epilepsy is a group of disorders that cause seizures in approximately 2.2 million people in the United States. Over 30% of these patients have epilepsies that do not respond to treatment with anti-epileptic drugs. For this population, focal resection surgery could offer long-term seizure freedom. Surgery candidates undergo a myriad of tests and monitoring to determine where and when seizures occur. The “gold standard” method for focus identification involves the placement of electrocorticography (ECoG) grids in the sub-dural space, followed by continual monitoring and visual inspection of the patient’s cortical activity. This process, however, is highly subjective and uses dated technology. Multiple studies were performed to investigate how... (more)
Created Date 2015
Contributor Ashmont, Kari Rich (Author) / Greger, Bradley (Advisor) / Helms Tillery, Stephen (Committee member) / Buneo, Christopher (Committee member) / Adelson, P David (Committee member) / Dudek, F Edward (Committee member) / Arizona State University (Publisher)
Subject Biomedical engineering / Algorithm / Electrocorticography / Empirical Mode Decomposition / Microelectrode / Seizure
Type Doctoral Dissertation
Extent 125 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Bioengineering 2015
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis