A New Multiway MFDM Based Technique For EEG Source Localisation And Interpretation
Anchal Yadav, Monika Agrawal, Shiv Dutt Joshi · 2023
The clinical applications of EEG Source Localization are seen in the analysis of epilepsy, schizophrenia, Parkinson, stress, and tumor. This paper proposes a novel brain source localization method using a multiway Multivariate Fourier Decomposition Method (MFDM) based technique. Firstly, a multiway array (tensor) is formed using MFDM, a novel way of forming a tensor from EEG signals. Then, this tensor is decomposed into various independent components using Canonical Polyadic Decomposition (CPD). Each independent component is used to reconstruct separate EEG signals corresponding to every independent source. Lastly, localization techniques like SPICE and LIKES are used to obtain the source locations. The results are compared with traditional methods like MNE, sLORETA, LASSO, and Space Time Frequency (STF) based tensor decomposition method. Further, real EEG signals during an arithmetic task are used to support and verify the proposed method in real application.