A new spatial Fourier domain source localization in EEG

 

Overview

Within the framework of the project, a new method for EEG source localization is to be developed. In the new approach, the activities of the sources and the system matrix of the forward problem are transferred to the Fourier Spatial Domain (SPHARA domain). The SPatial HARmonic Analysis (SPHARA) approach developed by the applicant is used for this transformation. The aim of the proposed approach is to formulate the EEG forward problem more compactly, to improve the condition of the forward problem and thus to improve the convergence behaviour of the inverse problem, to accelerate source localization with less memory requirements and to suppress the influence of certain types of disturbances.

News

15. – 18. Januar 2020, 29th ANT Neuromeeting, Beaune, Frankreich
  •     15. Januar „Spatial harmonic decomposition“, INFANS Workshop, Biomedical signal processing I
10. – 14. September 2019, 4th International BaCI Conference, Chengdu China

•    11. September „Introduction to spatial harmonic analysis of EEG data using SpharaPy“ im Training course 4: EEG/MEG - Spatial filters and uncertainty analysis
•    12. September „Analysis of the spatial frequency response of head models using the SPHARA approach“ im Symposium 5: Applications and challenges of volume conduction modeling

Publications & Patents

  • Publications:
    Veröffentlichungen: U. Graichen, R. Eichardt, and J. Haueisen. Spharapy: A python toolbox for spatial harmonic analysis of non-uniformly sampled data. SoftwareX, 10(100289), 2019.
  • Invited lectures:
    Analysis of the spatial frequency response of head models using the SPHARA approach in Symposium 5: Applications and challenges of volume conduction modeling, 4th International Conference on Basic and Clinical Multimodal Imaging (BaCI) 2019, Chengdu, China, 12.9.2019

Sponsorship