A Novel Independent RNN Approach to Classification of Seizures against Non-seizures
@article{Yao2019ANI, title={A Novel Independent RNN Approach to Classification of Seizures against Non-seizures}, author={Xinghua Yao and Qiang Shawn Cheng and Guoqiang Zhang}, journal={ArXiv}, year={2019}, volume={abs/1903.09326} }
In current clinical practices, electroencephalograms (EEG) are reviewed and analyzed by trained neurologists to provide supports for therapeutic decisions. Manual reviews can be laborious and error prone. Automatic and accurate seizure/non-seizure classification methods are desirable. A critical challenge is that seizure morphologies exhibit considerable variabilities. In order to capture essential seizure features, this paper leverages an emerging deep learning model, the independently…
25 Citations
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