46 citations · 60 across the 3 of their papers we have counts for
4 papers · 1 filter
Low Latency Real-Time Seizure Detection Using Transfer Deep Learning
Vahid Khalkhali, Nabila Shawki, Vinit Shah +3
Scalp electroencephalogram (EEG) signals inherently have a low signal-to-noise ratio due to the way the signal is electrically transduced. Temporal and spatial information must be…
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…
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…
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…