Literature DB >> 21097112

Eigenbrains: The free vibrational modes of the brain as a new representation for EEG.

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


  2 in total

1.  Classification of Alzheimer's Disease with and without Imagery using Gradient Boosted Machines and ResNet-50.

Authors:  Lawrence V Fulton; Diane Dolezel; Jordan Harrop; Yan Yan; Christopher P Fulton
Journal:  Brain Sci       Date:  2019-08-22

2.  Collaborative brain-computer interface for aiding decision-making.

Authors:  Riccardo Poli; Davide Valeriani; Caterina Cinel
Journal:  PLoS One       Date:  2014-07-29       Impact factor: 3.240

  2 in total

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