NF-EEG: A generalized CNN model for multi class EEG motor imagery classification without signal preprocessing for brain computer interfaces-Reference-Cited by-同舟云学术

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NF-EEG: A generalized CNN model for multi class EEG motor imagery classification without signal preprocessing for brain computer interfaces

Published:2024-06 Issue: Volume:92 Page:106081
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Arı Emre^ORCID,Taçgın Ertuğrul

Publisher

Elsevier BV

Reference83 articles.

1. Noninvasive electroencephalogram based control of a robotic arm for reach and grasp tasks;Meng;Sci. Rep.,2016

2. A systematic review on hybrid EEG/fNIRS in brain-computer interface;Liu;Biomed. Signal Process. Control,2021

3. Design and optimization of an EEG-based brain machine interface (BMI) to an upper-limb exoskeleton for stroke survivors;Bhagat;Front. Neurosci.,2016

4. Deep learning for EEG-based preference classification in neuromarketing;Aldayel;Appl. Sci.,2020

5. Brain–machine interfaces for controlling lower-limb powered robotic systems;He;J. Neural Eng.,2018

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. EEG classification with limited data: A deep clustering approach;Pattern Recognition;2025-01

2. Data Constraints and Performance Optimization for Transformer-Based Models in EEG-Based Brain-Computer Interfaces: A Survey;IEEE Access;2024

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