| Literature DB >> 21097112 |
Riccardo Poli1, Luca Citi, Mathew Salvaris, Caterina Cinel, Francisco Sepulveda.
Abstract
We present a new transform for EEG signals whose basis functions are well suited to represent the large-scale dynamics associated with event related potentials. The method involves instantiating an approximate model of the electrical properties of the brain as a conductor medium and then studying the free vibrational modes of the model. These form a set of basis functions, which we call eigenbrains, that can be used to meaningfully re-represent the brain's electrical activity. Eigenbrains are compared to principal component analysis and independent component analysis to highlight differences and similarities.Mesh:
Year: 2010 PMID: 21097112 DOI: 10.1109/IEMBS.2010.5627593
Source DB: PubMed Journal: Annu Int Conf IEEE Eng Med Biol Soc ISSN: 2375-7477