Inference of Brain States under Anesthesia with Meta Learning Based Deep Learning Models
Q. Wang, F. Liu, G. Wan, Y. Chen
This paper proposes Anes-MetaNet, a meta-learning based deep learning model to classify brain states under anesthesia using EEG data, showing improved performance over existing methods.