A multi-modal DL model converts SD detection to a 2D spectrogram imaging task and fuses it with power vectors for improved accuracy and sub-second inference on variable EEG electrode placements.
Automated detection of absence seizures using a wearable electroencephalographic device: a phase 3 validation study and feasibility of automated behavioral testing
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Real-Time Non-Invasive Imaging and Detection of Spreading Depolarizations through EEG: An Ultra-Light Explainable Deep Learning Approach
A multi-modal DL model converts SD detection to a 2D spectrogram imaging task and fuses it with power vectors for improved accuracy and sub-second inference on variable EEG electrode placements.