Feb. 21, 2024, 5:43 a.m. | Jonathan Dan, Una Pale, Alireza Amirshahi, William Cappelletti, Thorir Mar Ingolfsson, Xiaying Wang, Andrea Cossettini, Adriano Bernini, Luca Benini,

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.13005v1 Announce Type: cross
Abstract: The need for high-quality automated seizure detection algorithms based on electroencephalography (EEG) becomes ever more pressing with the increasing use of ambulatory and long-term EEG monitoring. Heterogeneity in validation methods of these algorithms influences the reported results and makes comprehensive evaluation and comparison challenging. This heterogeneity concerns in particular the choice of datasets, evaluation methodologies, and performance metrics. In this paper, we propose a unified framework designed to establish standardization in the validation of EEG-based …

abstract algorithms arxiv automated community cs.lg detection eeg eess.sp evaluation framework long-term monitoring quality research type validation

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