| License: Creative Commons Attribution 4.0 PDF - Published Version (2MB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-350047
- DOI to cite this document:
- 10.5283/epub.35004
Abstract
Lately, Ensemble Empirical Mode Decomposition (EEMD) techniques receive growing interest in biomedical data analysis. Event-Related Modes (ERMs) represent features extracted by an EEMD from electroencephalographic (EEG) recordings. We present a new approach for source localization of EEG data based on combining ERMs with inverse models. As the first step, 64 channel EEG recordings are pooled ...
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