Emotion recognition in EEG signals using deep learning methods: A review
Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …
planning, reasoning, and other mental states. As a result, they are considered a significant …
Lightweight convolution transformer for cross-patient seizure detection in multi-channel EEG signals
Background Epilepsy is a neurological illness affecting the brain that makes people more
likely to experience frequent, spontaneous seizures. There has to be an accurate automated …
likely to experience frequent, spontaneous seizures. There has to be an accurate automated …
ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures
We proposed an Attentive Recurrent Neural Network (ARNN), which recurrently applies
attention layers along a sequence and has linear complexity with respect to the sequence …
attention layers along a sequence and has linear complexity with respect to the sequence …