24 citations · 45 across the 2 of their papers we have counts for
3 papers
eess.SP2019★ 21 cited
Automated Classification of Seizures against Nonseizures: A Deep Learning Approach
Xinghua Yao, Qiang Cheng, Guo-Qiang Zhang
In current clinical practice, electroencephalograms (EEG) are reviewed and analyzed by well-trained neurologists to provide supports for therapeutic decisions. The way of manual re…
cs.LG2019★ 24 cited
A Novel Independent RNN Approach to Classification of Seizures against Non-seizures
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. Manual reviews can be la…
cs.LG2018
A Robust Deep Learning Approach for Automatic Classification of Seizures Against Non-seizures
X. Yao, X. Li, Q. Ye +3
Identifying epileptic seizures through analysis of the electroencephalography (EEG) signal becomes a standard method for the diagnosis of epilepsy. Manual seizure identification on…