Decoding brain signals: A convolutional neural network approach for motor imagery classification-Reference-Cited by-同舟云学术

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Decoding brain signals: A convolutional neural network approach for motor imagery classification

Published:2024-03 Issue: Volume:7 Page:100451
ISSN:2772-6711
Container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy
language:en
Short-container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy

Author:

Tarahi Ousama,Hamou Soukaina,Moufassih Mustapha,Agounad Said,Azami Hafida Idrissi

Publisher

Elsevier BV

Reference68 articles.

1. Bci2000: a general-purpose brain-computer interface (bci) system;Schalk;IEEE Trans. Biomed. Eng.,2004

2. Brain-computer interfaces in medicine;Shih,2012

3. Brain-computer interfaces: beyond medical applications;Van Erp;Computer,2012

4. Event-related desynchronization identification using continuous wavelet transform-SINGLE;Ousama,2022

5. Impact of the preprocessing block on the performance of the BCI system;Hamou,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Fuzzy Inference System and Stationary Wavelet Decomposition for Identification and Removal of ECG Artifact from sEMG Signals;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

2. Hybrid approach: combining eCCA and SSCOR for enhancing SSVEP decoding;The Journal of Supercomputing;2024-03-20

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