Search Results for author: Xinghua Yao

Found 2 papers, 0 papers with code

Automated Classification of Seizures against Nonseizures: A Deep Learning Approach

no code implementations5 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.

Classification EEG +3

A Novel Independent RNN Approach to Classification of Seizures against Non-seizures

no code implementations22 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.

Classification EEG +2

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