An EEG-fMRI Fusion Analysis Based on Symmetric Techniques Using Dempster Shafer Theory

@inproceedings{Attia2017AnEF,
  title={An EEG-fMRI Fusion Analysis Based on Symmetric Techniques Using Dempster Shafer Theory},
  author={Abdelouahab Attia and Abdelouahab Moussaoui and Youssef Chahir},
  year={2017}
}
EEG-fMRI data fusion provides a better insight of the brain activity due to its high spatiotemporal resolution. The current paper presents a new framework on EEG-fMRI data symmetric data fusion based on Dempster Shafer theory. Basically, symmetric methods require the use of a common theoretical model to explore and explain Electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) data jointly. Dempster Shafer theory has a multivariate use in resolving problems related to… CONTINUE READING