https://www.selleckchem.com/pr....oducts/BMS-536924.ht
Therefore, the proposed materials have a high potential for applications in structural health monitoring.Objectives.Accurate seizure prediction is highly desirable for medical interventions such as responsive electrical stimulation. We aim to develop a classification model that can predict seizures by identifying preictal states, i.e. the precursor of a seizure, based on multi-channel intracranial electroencephalography (iEEG) signals.Approach.A two-level sparse multiscale classification model was developed to classify interictal and
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