Differential Entropy Feature Signal Extraction Based on Activation Mode and Its Recognition in Convolutional Gated Recurrent Unit Network

Differential Entropy Feature Signal Extraction Based on Activation Mode and Its Recognition in Convolutional Gated Recurrent Unit Network

In brain-computer-interface (BCI) devices, signal acquisition via reducing the electrode channels can reduce the computational complexity of models and filter out the irrelevant noise. Differential entropy (DE) plays an important role in emotional components of signals, which can reflect the area ac...

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Bibliographic Details
Main Authors:	Yongsheng Zhu, Qinghua Zhong
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-01-01
Series:	Frontiers in Physics
Subjects:	differential entropy signal extraction activation mode convolutional neural network bidirectional gated recurrent unit network
Online Access:	https://www.frontiersin.org/articles/10.3389/fphy.2020.629620/full

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