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.
Epilepsy in adults.The Lancet, 393(10172):689–701, 2019
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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.