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

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Authors: Fazal Ur Rehman, Yazeed Masaud Alkhrijah, Syed Muhammad Usman, Muhammad Irfan
Cited by: 0

Abstract

Automated detection of Motor Imagery (MI) tasks is extremely useful for prosthetic arms and legs of stroke patients for their rehabilitation. Prediction of MI tasks can be performed with the help of Electroencephalogram (EEG)... | Find, read and cite all the research you need on Tech Science Press

Fields of Study & Subjects

EEG and Brain-Computer Interfaces Muscle activation and electromyography studies Stroke Rehabilitation and Recovery

Publication details

Journal / source
Computer Modeling in Engineering & Sciences
Volume
146
Issue
2
Pages
1–10
Publication date
1 January 2026
Language
EN