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Mar, 2017
联合脑电肌电数据压缩和分类的多模态深度学习方法
Multimodal deep learning approach for joint EEG-EMG data compression and classification
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Ahmed Ben Said, Amr Mohamed, Tarek Elfouly, Khaled Harras, Z. Jane Wang
TL;DR
本文使用深度学习方法,提出了一种针对EEG和EMG信号的联合压缩和分类方法,基于深度自编码器架构,通过在编码器层处理多模态数据并在解码器层重构和检索数据,显著减少了信号失真,同时实现了更好的分类准确性。
Abstract
In this paper, we present a joint
compression
and
classification
approach of
eeg
and
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