Motor imagery EEG classification algorithm based on CNN-LSTM feature fusion network-Reference-Cited by-同舟云学术

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Motor imagery EEG classification algorithm based on CNN-LSTM feature fusion network

Published:2022-02 Issue: Volume:72 Page:103342
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Li Hongli,Ding Man,Zhang Ronghua,Xiu Chunbo

Funder

National Natural Science Foundation of China

Natural Science Foundation of Tianjin City

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference30 articles.

1. Investigating the effects of visual distractors on the performance of a motor imagery brain-computer interface;Emami;Clin. Neurophysiol.,2018

2. D. Wu, Y. Xu, B. Lu. Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progresses Since 2016. 2020.

3. Design of a Multimodal EEG-based Hybrid BCI system with visual servo module;Duan;IEEE Trans. Autonomous Mental Dev.,2017

4. Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks;Pfurtscheller;NeuroImage,2006

5. Subject and class specific frequency bands selection for multiclass motor imagery classification;Suk;Int. J. Imaging Syst. Technol.,2011

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