Feature Extraction of EEG Signal by Power Spectral Density for Motor Imagery Based BCI-Reference-Cited by-同舟云学术

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Feature Extraction of EEG Signal by Power Spectral Density for Motor Imagery Based BCI

Published:2021-06-22 Issue: Volume: Page:
ISSN:
Container-title:2021 8th International Conference on Computer and Communication Engineering (ICCCE)
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Author:

Alam Mohammad Nur,Ibrahimy Muhammad Ibn,Motakabber S. M. A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9467106/9467134/09467141.pdf?arnumber=9467141

Cited by 20 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. Comparison of Visual and Kinesthetic Motor Imagery for Upper Limb Activity;Communications in Computer and Information Science;2024

2. Exploring the Usability of Quantum Machine Learning for EEG Signal Classification;Communications in Computer and Information Science;2024

3. Improved sleep, cognitive processing and enhanced learning and memory task accuracy with Yoga nidra practice in novices;PLOS ONE;2023-12-13

4. Hand Motor Imagery Identification Using Machine Learning Approaches in a Protocol Based on Visual Stimuli and Passive Movement;2023 IEEE Colombian Caribbean Conference (C3);2023-11-22

5. A Multi-class Graph Convolutional Neural Network for EEG Classification and Representation;2023 22nd International Symposium on Communications and Information Technologies (ISCIT);2023-10-16

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