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eess.SP2018
Optimizing Channel Selection for Seizure Detection
Vinit Shah, Meysam Golmohammadi, Saeedeh Ziyabari +3
Interpretation of electroencephalogram (EEG) signals can be complicated by obfuscating artifacts. Artifact detection plays an important role in the observation and analysis of EEG…
eess.SP2018
Gated Recurrent Networks for Seizure Detection
Meysam Golmohammadi, Saeedeh Ziyabari, Vinit Shah +4
Recurrent Neural Networks (RNNs) with sophisticated units that implement a gating mechanism have emerged as powerful technique for modeling sequential signals such as speech or ele…
eess.SP2018
Electroencephalographic Slowing: A Source of Error in Automatic Seizure Detection
Eva von Weltin, Tameem Ahsan, Vinit Shah +4
Although a seizure event represents a major deviation from a baseline electroencephalographic signal, there are features of seizure morphology that can be seen in non-epileptic por…