Euler common spatial pattern modulated with cross-frequency coupling
作者:Jing Sun, Haixian Wang, Jiuchuan Jiang
摘要
In the field of electroencephalogram (EEG)-based brain–computer interfaces (BCIs), the method of common spatial pattern (CSP) is formulated as a problem of eigen-decomposition of covariance matrices. Each sample value was mapped into a complex space using Euler representation, and the Euler common spatial pattern (e-CSP) approach was developed. Cross-frequency coupling (CFC) represents the interaction between different frequency bands, which can better control the complex brain network than a single frequency band and provides a new idea for research on EEG signals. In this paper, we apply amplitude–amplitude coupling (AAC) to reformulate the covariance matrices in e-CSP; as a result, the AAC-modulated e-CSP is proposed. More discriminative features are discovered with the proposed approach. The proposed method is validated based on the Cho’s dataset. The experimental results illustrate the discrimination ability of the proposed method.
论文关键词:Cross-frequency coupling (CFC), Common spatial pattern (CSP), Euler representation, Electroencephalogram (EEG), Motor imagery (MI)
论文评审过程:
论文官网地址:https://doi.org/10.1007/s10115-022-01750-0