Neuro-evolutionary approach for optimal selection of EEG channels in motor imagery based BCI application-Reference-Cited by-同舟云学术

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Neuro-evolutionary approach for optimal selection of EEG channels in motor imagery based BCI application

Published:2021-07 Issue: Volume:68 Page:102621
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Idowu Oluwagbenga Paul^ORCID,Adelopo Oluwaremilekun,Ilesanmi Ademola Enitan,Li Xiangxin,Samuel Oluwarotimi Williams,Fang Peng,Li Guanglin

Funder

Chinese Academy of Sciences

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference68 articles.

1. A review of sensory feedback in upper-limb prostheses from the perspective of human motor control;Sensinger;Front. Neurosci.,2020

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

3. BCI-based assistive robot arm;Arnil,2013

4. Challenges in clinical applications of brain computer interfaces in individuals with spinal cord injury;Rupp;Front. Neuroeng.,2014

5. DIMENSION: dynamic MR imaging with both k-space and spatial prior knowledge obtained via multi-supervised network training;Wang;NMR Biomed.,2019

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1. Electrode subset selection to lessen the complexity of brain activity measurement using EEG for depression detection;Transactions of the Institute of Measurement and Control;2024-07-26

2. A combined EEG motor and speech imagery paradigm with automated successive halving for customizable command selection;Brain-Computer Interfaces;2024-07-22

3. Adaptive Time–Frequency Segment Optimization for Motor Imagery Classification;Sensors;2024-03-05

4. Deep Q-Learning for Channel Optimization in MRCP BMI Systems: A Teleoperated Robot Implementation;IEEE Access;2024

5. EEG Channel Selection Based on Neuron Proportion with SNN for Motor Imagery Classification;2023 International Conference on Neuromorphic Computing (ICNC);2023-12-15

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