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Model Agnostic Meta Learning Ensemble Based Prediction of Motor Imagery Tasks Using EEG Signals

Fazal Ur Rehman Yazeed Alkhrijah Syed Muhammad Usman Muhammad Irfan

Computer Modeling in Engineering & Sciences2026，Vol.146Issue(2)：P.1018-1042,25.

Computer Modeling in Engineering & Sciences2026，Vol.146Issue(2)：P.1018-1042,25.DOI:10.32604/cmes.2026.076332

Model Agnostic Meta Learning Ensemble Based Prediction of Motor Imagery Tasks Using EEG Signals

Fazal Ur Rehman ¹Yazeed Alkhrijah ²Syed Muhammad Usman ³Muhammad Irfan¹

作者信息

1. Department of Electrical and Biomedical Engineering,Khwaja Fareed University of Engineering and Information Technology,Rahim Yar Khan,Pakistan
2. Department of Electrical Engineering,Imam Mohammad Ibn Saud Islamic University(IMSIU),Riyadh,Saudi Arabia
3. Department of Computer Science,Bahria School Engineering and Applied Sciences(BSEAS),Bahria University Islamabad,Islamabad,Pakistan
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摘要

关键词

Motor imagery(MI)/electroencephalogram(EEG)/2D-CNN/feature selection/explainable artificial intelligence(XAI)/particle swarm optimization(PSO)

分类

医药卫生

引用本文复制引用

Fazal Ur Rehman,Yazeed Alkhrijah,Syed Muhammad Usman,Muhammad Irfan..Model Agnostic Meta Learning Ensemble Based Prediction of Motor Imagery Tasks Using EEG Signals[J].Computer Modeling in Engineering & Sciences,2026,146(2):P.1018-1042,25.

基金项目

supported and funded by the Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University(IMSIU)(grant number IMSIU-DDRSP2601). （IMSIU）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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