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Found 2 papers, 1 papers with code
ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures
In this cell, the attention layer is a computational unit that efficiently applies self-attention and cross-attention mechanisms to compute a recurrent function over a wide number of state vectors and input signals.
Lightweight Convolution Transformer for Cross-patient Seizure Detection in Multi-channel EEG Signals
In this research work, we provided a novel approach to enhance efficiency and simplify the architecture for multi-channel automated seizure detection.
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