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Design of MEG-Based Brain-Machine Interface Control Methodology Through Time-Varying Cortical Neural Connectivity & Extreme Learning Machine

2022-12-08

Abstract excerpt

Human-machine interfaces contribute to the improvement of the life quality of physically disabled users. In this study, a non-invasive brain-machine interface (BMI) design methodology was proposed to control a robot arm through magnetoencephalography (MEG) based on directionally modulated MEG activity that was acquired during the user’s imagined wrist movements in four various directions. The partial directed cohe...

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Literature Corpus work
ad03f34e-b7b7-5135-882c-b95322caf4b1
DOI
10.1101/2022.12.05.519149
Open publication

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Design of MEG-Based Brain-Machine Interface Control Methodology Through Time-Varying Cortical Neural Connectivity & Extreme Learning MachineDOI 10.1101/2022.12.05.519149
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