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The aim of the project was to detect specific EEG patterns related to hypoglycemia. EEG analysis was performed using a probabilistic classifier and unsupervised learning for the construction of learning sets for the classifier. Unsupervised learning and additional tools were used in the search for EEG patterns occurring when the blood-glucose level was(More)
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