Domain knowledge-assisted multi-objective evolutionary algorithm for channel selection in brain-computer interface systems.

ABSTRACT:

Background

For non-invasive brain-computer interface systems (BCIs) with multiple electroencephalogram (EEG) channels, the key factor limiting their convenient application in the real world is how to perform reasonable channel selection while ensuring task accuracy, which can be modeled as a multi-objective optimization problem. Therefore, this paper proposed a two-objective problem model for the channel selection problem and introduced a domain knowledge-assisted multi-objective optimization algorithm (DK-MOEA) to solve the aforementioned problem.

Methods

The multi-objective optimization problem model was designed based on the channel connectivity matrix and comprises two objectives: one is the task accuracy and the other one can sensitively indicate the removal status of c

SUBMITTER: Liu T 

PROVIDER: S-EPMC10512944 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature