Poli, Riccardo and Citi, Luca and Salvaris, Mathew and Cinel, Caterina and Sepulveda, Francisco (2010) Eigenbrains: the free vibrational modes of the brain as a new representation for EEG. Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, 2010. pp. 6011-6014. DOI https://doi.org/10.1109/iembs.2010.5627593
Poli, Riccardo and Citi, Luca and Salvaris, Mathew and Cinel, Caterina and Sepulveda, Francisco (2010) Eigenbrains: the free vibrational modes of the brain as a new representation for EEG. Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, 2010. pp. 6011-6014. DOI https://doi.org/10.1109/iembs.2010.5627593
Poli, Riccardo and Citi, Luca and Salvaris, Mathew and Cinel, Caterina and Sepulveda, Francisco (2010) Eigenbrains: the free vibrational modes of the brain as a new representation for EEG. Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, 2010. pp. 6011-6014. DOI https://doi.org/10.1109/iembs.2010.5627593
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. © 2010 IEEE.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Brain; Humans; Electroencephalography; Discriminant Analysis; Statistics, Nonparametric; Reproducibility of Results; Principal Component Analysis; Vibration; Models, Biological; Adult; Female; Male; Young Adult |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 04 Mar 2014 16:49 |
| Last Modified: | 05 Dec 2024 18:48 |
| URI: | http://repository.essex.ac.uk/id/eprint/8821 |