The channel selection method helps to remove task-independent EEG signals, thereby improving the performance of the BCI system. However, the brain regions associated with motor imagery in different subjects are not exactly same, and the method of channel selection depends on the feedback of classification results.
The channel selection method helps to remove task-independent EEG signals, thereby improving the performance of the BCI system. However, the brain regions ...
In this work, we proposed a channel selection method based on similarity measurement and presented a quantitative comparison between the proposed method and ...
... Based on the channel selection process, when selecting the optimal channels, it is possible to improve the classification results while ensuring that no ...
These algorithms are intended to reduce the calculation time, increase classification accuracy, and select the best channels for a specific application or ...
May 16, 2024 · In the process of channel selection, the genetic algorithm is used to select the optimal set of channels using a new technique to deliver fixed ...
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Aug 16, 2024 · In the process of channel selection, the genetic algorithm is used to select the optimal set of channels using a new technique to deliver fixed ...
This paper presents an entropy-based approach to select effective EEG channels for motor imagery (MI) classification in brain–computer interface (BCI) systems.
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Oct 21, 2022 · A novel channel selection method (stdWC) based on the standard deviation of wavelet coefficients across channels is proposed to identify Motor Imagery (MI) ...
The proposed study is a novel scheme combining Pearson correlation coefficient-based channel selection technique and wavelet packet decomposition for ...