Skip to Main content Skip to Navigation
Conference papers

Decoding Finger Flexion using amplitude modulation from band-specific ECoG

Nanying Liang 1, * Laurent Bougrain 1
* Corresponding author
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
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.
Document type :
Conference papers
Complete list of metadata

Cited literature [11 references]  Display  Hide  Download

https://hal.inria.fr/inria-00408595
Contributor : Laurent Bougrain <>
Submitted on : Friday, July 31, 2009 - 11:56:46 AM
Last modification on : Monday, April 19, 2021 - 5:30:06 PM
Long-term archiving on: : Tuesday, June 15, 2010 - 7:18:23 PM

Files

ESANN-2009.pdf
Files produced by the author(s)

Identifiers

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

Collections

Citation

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⟩

Share

Metrics

Record views

317

Files downloads

354