February 2022
Intermediate to advanced
392 pages
13h 2m
English
Content preview from Artificial Intelligence-Based Brain-Computer Interface
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3: A new approach to feature extraction in MI-based BCI systems
Arefeh Nouria; Zahra Ghanbaria; Mohammad Reza Aslanib; Mohammad Hassan Moradia a Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iranb Electrical Engineering Department, Shahab Danesh University, Qom, Iran
Abstract
A motor imagery-based brain-computer interface (MI-BCI) creates a path through which the brain interacts with the external environment by recording and processing electroencephalograph (EEG) signals made by imagining the movement of a particular limb. In this study, with the aim of improving classification accuracy, we modified the feature extraction stage. After preprocessing and decomposing EEG signals into their frequency ...
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