EpiNT, a transformer pretrained on over 2,700 hours of EEG and iEEG from 1,199 patients with masked autoencoding and a frequency-domain quantizer, matches or beats other pretrained models on six epilepsy classification benchmarks.
Source-sink connectivity: A novel interictal EEG marker for seizure localization.Brain, 145(11):3901–3915, 2022
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Cross-Modal Epileptic Signal Harmonization: Frequency Domain Mapping Quantization for Pre-training a Unified Neurophysiological Transformer
EpiNT, a transformer pretrained on over 2,700 hours of EEG and iEEG from 1,199 patients with masked autoencoding and a frequency-domain quantizer, matches or beats other pretrained models on six epilepsy classification benchmarks.