Automatic BASED scoring on scalp EEG in children with infantile spasms using convolutional neural network

Exploring foci of: Frontiers in Molecular Biosciences • Vol 9 Automatic BASED scoring on scalp EEG in children with infantile spasms using convolutional neural network August 2022 • Yuying Fan, Duo Chen, Hua Wang, Yijie Pan, Xueping Peng, Xueyan Liu, Yunhui Liu In recent years, the Burden of Amplitudes and Epileptiform Discharges (BASED) score has been used as a reliable, accurate, and feasible electroencephalogram (EEG) grading scale for infantile spasms. However, manual EEG annotation is, in general, very time-consuming, and BASED scoring is no exception. Convolutional neural networks (CNNs) have proven their great potential in many EEG classification problems. However, very few research studies have focused on the use of CNNs for BASED scoring, a challenging but vital… Open Article Page

Electroencephalography Convolutional Neural Network Computer Science Artificial Intelligence Machine Learning Neuroscience Open Article