Decoding Finger Flexion using amplitude modulation from band-specific ECoG - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2009

Decoding Finger Flexion using amplitude modulation from band-specific ECoG

Nanying Liang
  • Function : Correspondent author
  • PersonId : 854771

Connectez-vous pour contacter l'auteur
Laurent Bougrain

Abstract

EEG-BCIs have been well studied in the past decades and implemented into several famous applications, like P300 speller and wheelchair controller. However, these interfaces are indirect due to low spatial resolution of EEG. Recently, direct ECoG-BCIs attract intensive attention because ECoG provides a higher spatial resolution and signal quality. This makes possible localization of the source of neural signals with respect to certain brain functions. In this article, we present a realization of ECoG-BCIs for finger flexion prediction provided by BCI competition IV. Methods for finger flexion prediction including feature extraction and selection are provided in this article. Results show that the predicted finger movement is highly correlated with the true movement when we use band-specific amplitude modulation.
Fichier principal
Vignette du fichier
ESANN-2009.pdf (435.09 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00408595 , version 1 (31-07-2009)

Identifiers

  • HAL Id : inria-00408595 , version 1
  • ARXIV : 0907.5500

Cite

Nanying Liang, Laurent Bougrain. Decoding Finger Flexion using amplitude modulation from band-specific ECoG. European Symposium on Artificial Neural Networks - ESANN 2009, Apr 2009, Bruges, Belgium. pp.467-472. ⟨inria-00408595⟩
123 View
187 Download

Altmetric

Share

Gmail Facebook X LinkedIn More