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Feb, 2024
EEG2Rep:通过信息化的屏蔽输入增强自我监督 EEG 表达
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
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Navid Mohammadi Foumani, Geoffrey Mackellar, Soheila Ghane, Saad Irtza, Nam Nguyen...
TL;DR
通过EEG2Rep方法,利用自监督学习从脑电图数据中学习表示,解决了低信噪比、广泛幅度变化和连续序列中缺乏明确分割等多个挑战,实验证明EEG2Rep在各类EEG任务中优于现有方法。
Abstract
self-supervised
approaches for
electroencephalography
(EEG)
representation learning
face three specific challenges inherent to EEG data: (
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