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Extracting single trial visual evoked potentials using iterative generalized eigen value decomposition

Hajipour, S متینگ تکرار سورسه ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/ISSPIT.2008.4775708
  3. Publisher: 2008
  4. Abstract:
  5. The activity generated in the brain in response to external stimulations which is named the evoked potential (EP) is typically buried in the background EEG. Because of the low signal to noise ratio ofEPs, it is difficult to record single trial evoked potentials. The traditional technique which is based on ensemble averaging destroys the dynamic information of single trials. In this paper, a new method has been proposed based on generalized eigen value decomposition to extract single trial EPs from single channel EEG recordings. The extraction of the N75-P100-N135 complex in simulated and actual visual evoked potentials is mainly taken under consideration. To illustrate the effectiveness of the proposed algorithm, it is compared with the iterative ICA method.©2008 IEEE
  6. Keywords:
  7. Dynamic information ; EEG recording ; Eigenvalue decomposition ; Ensemble averaging ; Evoked potentials ; External stimulation ; Generalized eigen value decomposition ; Low signal-to-noise ratio ; Single channels ; Single trial ; Single trial evoked potential ; Traditional techniques ; Visual evoked potential ; Brain ; Electroencephalography ; Electrophysiology ; Signal processing ; Signal to noise ratio ; Transmitters ; Bioelectric potentials
  8. Source: Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008, 16 December 2008 through 19 December 2008, Sarajevo ; 2008 , Pages 233-237 ; 9781424435555 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4775708