https://www.selleckchem.com/pr....oducts/CI-1040-(PD18
The genetic algorithm evaluates all possible combinations using a chromosome representation for all the 32 channels, and the EEG data from each chromosome in the different populations are tested iteratively solving two unconstrained objectives; to maximize classification accuracy and to reduce the number of required EEG channels for the classification process. Best combinations obtained from a Pareto-front suggests that as few as 8-10 channels can fulfill this condition and provide the basis for a lighter design of EEG system
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