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The electrophysiological signal collection is yet another data modality in healthcare; collection and analysis of such signals, be it electroencephalographic (EEG) signals in epilepsy patients, or electrocardiographic (EKG) signals in heart attack patients, can be valuable for disease diagnosis and prognosis measurement. In 2014, the popular data science competition website, Kaggle, offered a $10,000 prize for the data science team that could most effectively predict seizures in epilepsy patients using EEG data.