no code implementations • 5 Jun 2019 • Xinghua Yao, Qiang Cheng, Guo-Qiang Zhang
In order to capture essential seizure features, this paper integrates an emerging deep learning model, the independently recurrent neural network (IndRNN), with a dense structure and an attention mechanism to exploit temporal and spatial discriminating features and overcome seizure variabilities.
no code implementations • 22 Mar 2019 • Xinghua Yao, Qiang Cheng, Guo-Qiang Zhang
In current clinical practices, electroencephalograms (EEG) are reviewed and analyzed by trained neurologists to provide supports for therapeutic decisions.