SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification
Published in
(2019)External Links:
TL
TL;DR
SeizureNet, a deep learning framework which learns multi-spectral feature embeddings using an ensemble architecture for cross-patient seizure type classification, is presented and shown to improve the accuracy of smaller networks through knowledge distillation for applications with low-memory constraints.