Investigating Optimal EEG Channels and Features for Brain-Computer Interfaces: An Exploration using Evolutionary Algorithms and Machine Learning

Investigating Optimal EEG Channels and Features for Brain-Computer Interfaces: An Exploration using Evolutionary Algorithms and Machine Learning

Purpose: Brain-Computer Interfaces (BCI) are advanced systems that enable a direct neural pathway between the human brain and external devices. The importance of BCI is underscored by its profound implications for medical therapeutics, particularly in neurorehabilitation. Materials and Methods:...

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Bibliographic Details
Main Authors: Ali Ekhlasi, Hessam Ahmadi, Mohammad Saleh Hoseinzadeh
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2025-03-01
Series:Frontiers in Biomedical Technologies
Subjects:
Brain-Computer Interface (BCI)
Robot Controlling
Brain Regions
EEG
Evolutionary Optimization Algorithms
Online Access:https://fbt.tums.ac.ir/index.php/fbt/article/view/1050
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https://fbt.tums.ac.ir/index.php/fbt/article/view/1050

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