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Eeg Interictal Spike Detection Using Artificial Neural Networks, Howard J. Carey Iii
Eeg Interictal Spike Detection Using Artificial Neural Networks, Howard J. Carey Iii
Theses and Dissertations
Epilepsy is a neurological disease causing seizures in its victims and affects approximately 50 million people worldwide. Successful treatment is dependent upon correct identification of the origin of the seizures within the brain. To achieve this, electroencephalograms (EEGs) are used to measure a patient’s brainwaves. This EEG data must be manually analyzed to identify interictal spikes that emanate from the afflicted region of the brain. This process can take a neurologist more than a week and a half per patient. This thesis presents a method to extract and process the interictal spikes in a patient, and use them to reduce …