Collective Almost Synchronization Modeling Used for Motor Imagery EEG Classification
Thi Mai Phuong Nguyen, Minh Khanh Phan, Yoshikatsu Hayashi, Murilo S. Baptista, Toshiyuki Kondo
This paper introduces a novel feature extraction method for Motor Imagery EEG classification using a Collective Almost Synchronization model, achieving 74.03% accuracy on a benchmark dataset.
bioRxiv · Aug 23, 2023 · PreprintNeuroscience