Seizure detection in subdural recordings using nonlinear decision functions

This dissertation proposed a new approach to seizure detection in intracranial EEG recordings using nonlinear decision functions. It implemented well-established features that were designed to deal with complex signals such as brain recordings, and proposed a 2-D domain of analysis. Since the features considered assume both the time and frequency domains, the analysis was carried out both temporally and as a function of different frequency ranges in order to ascertain those measures that were most suitable for seizure detection. In retrospect, this study established a generalized approach to seizure detection that works across several features and across patients. ^ Clinical experiments involved 8 patients with intractable seizures that were evaluated for potential surgical interventions. A total of 35 iEEG data files collected were used in a training phase to ascertain the reliability of the formulated features. The remaining 69 iEEG data files were then used in the testing phase. ^ The testing phase revealed that the correlation sum is the feature that performed best across all patients with a sensitivity of 92% and an accuracy of 99%. The second best feature was the gamma power with a sensitivity of 92% and an accuracy of 96%. In the frequency domain, all of the 5 other spectral bands considered, revealed mixed results in terms of low sensitivity in some frequency bands and low accuracy in other frequency bands, which is expected given that the dominant frequencies in iEEG are those of the gamma band. In the time domain, other features which included mobility, complexity, and activity, all performed very well with an average a sensitivity of 80.3% and an accuracy of 95%. ^ The computational requirement needed for these nonlinear decision functions to be generated in the training phase was extremely long. It was determined that when the duration dimension was rescaled, the results improved and the convergence rates of the nonlinear decision functions were reduced dramatically by more than a 100 fold. Through this rescaling, the sensitivity of the correlation sum improved to 100% and the sensitivity of the gamma power to 97%, which meant that there were even less false negatives and false positives detected. ^

Turkish-American relations in the post-Cold War era, 1990-2005

This study examines the contours of Turkish-American foreign relations in the post-Cold War era from 1990 to 2005. While providing an interpretive analysis, the study highlights elements of continuity and change and of convergence and divergence in the relationship between Ankara and Washington. Turkey’s encounter with its Kurdish problem at home intertwined with the emergence of an autonomous Kurdish authority in northern Iraq after the Gulf War that left a political vacuum in the region. The main argument of this dissertation is that the Kurdish question has been the central element in shaping and redefining the nature and scope of Turkish-American relations since 1991. This study finds that systemic factors primarily prevail in the early years of the post-Cold War Turkish-American relations, as had been the case during the Cold War era. However, the Turkish parliament’s rejection of the deployment of the U.S. troops in Turkey for the invasion of Iraq in 2003 could not be explained by the primacy of distribution of capabilities in the system. Instead, the role of identity, ideology, norms, and the socialization of agency through interaction and language must be considered. The Justice and Development Party’s ascension to power in 2002 magnified a wider transformation in domestic and foreign politics and reflected changes in Turkey’s own self-perception and the definition of its core interests towards the United States.