Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. High Frequency Bands and Estimated Local Field Potentials to Improve Single-Trial Classification of Electroencephalographic Signals
 
conference paper

High Frequency Bands and Estimated Local Field Potentials to Improve Single-Trial Classification of Electroencephalographic Signals

Ferrez, Pierre W.
•
Galán, Ferran
•
Buttfield, Anna
Show more
2006
Proceedings of the 3rd International Brain-Computer Interface Workshop & Training Course 2006

Non-invasive brain-computer interfaces are traditionally based on mu rhythms, beta rhythms, slow cortical potentials or P300 event-related potentials. However, there is mounting evidence that neural oscillations up to 200 Hz play important roles in processes such as attention, perception, motor action and conscious experience. In this preliminary study we propose to extend the investigations to the complete frequency spectrum and to compare the high frequency bands with the usual low frequencies. It appears that the 70-130 Hz band and the 170-230 Hz band performs better than the traditional 2-40 Hz band. In a second step we applied the same analysis to the estimated local field potentials from the scalp EEG. The same frequency bands show the best performances, and the use of eLFP leads to an increase of performances of ~5%.

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

ferrez_2006_graz.pdf

Access type

openaccess

Size

307.49 KB

Format

Adobe PDF

Checksum (MD5)

9c8d64334d5602646e46510461d899b7

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés