Separated channel convolutional neural network to realize the training free motor imagery BCI systems-Reference-Cited by-同舟云学术

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Separated channel convolutional neural network to realize the training free motor imagery BCI systems

Published:2019-03 Issue: Volume:49 Page:396-403
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Zhu Xuyang,Li Peiyang^ORCID,Li Cunbo,Yao Dezhong,Zhang Rui,Xu Peng

Funder

National Key Research and Development Plan of China

National Natural Science Foundation of China

Open Foundation of Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference42 articles.

1. Brain computer interfaces, a review;Nicolasalonso;Sensors,2012

2. Detecting awareness in patients with disorders of consciousness using a hybrid brain-computer interface;Pan;J. Neural Eng.,2014

3. Multimodal BCIs: target detection, multidimensional control, and awareness evaluation in patients with disorder of consciousness;Li;Proc. IEEE,2016

4. A hybrid brain computer interface to control the direction and speed of a simulated or real wheelchair;Long;Ieee Trans. Neural Syst. Rehabil. Eng.,2012

5. A hybrid BCI system combining P300 and SSVEP and its application to wheelchair control;Li;IEEE Trans. Biomed. Eng.,2013

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