Predicting intention and direction of wrist movement from EEG

G. Valsan, P. Worrajiran, H. Lakany, B.A. Conway

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Brain-computer interfaces (BCI) offer potential for individuals with a variety of movement and sensory disabilities to control their environment, communicate and control mobility aids. However, the key to BCI usability rests in being able to extract relevant time varying signals that can be classified into usable commands. In this study we report on the results of experiments investigating the ability to classify scalp EEG signals on the basis of a users intention to move (and imaging to move) their wrist in different directions. EEG activity recorded from the scalp overlying the sensorimotor cortex was examined in the frequency domain to identify pre-movement patterns of synchronisation and desynchronization. Based on this, a further classification of the EEG epochs was performed based on Principal Component Analysis for feature extraction and Euclidean distance for intention classification. Classification success rates between 70-90% have been obtained using this relatively simple method suggesting that classification of pre-movement potentials can realistically be achieved in real time.
LanguageEnglish
Title of host publicationAdvances in Medical, Signal and Information Processing, 2006. MEDSIP 2006. IET 3rd International Conference On
Place of PublicationStevenage, United Kingdom
Pages30
Edition520
DOIs
Publication statusPublished - 19 Jul 2006

Publication series

NameIET Conference Publications
PublisherInstitution of Engineering and Technology

Fingerprint

Electroencephalography
Brain computer interface
Bioelectric potentials
Principal component analysis
Feature extraction
Synchronization
Imaging techniques
Experiments

Keywords

  • brain computer interface
  • coefficient of variation
  • EEG
  • event-related spectral perturbation
  • principal component analysis
  • brain
  • frequency domain analysis
  • imaging techniques
  • computer interfaces
  • signal processing
  • time varying systems
  • electroencephalography

Cite this

Valsan, G., Worrajiran, P., Lakany, H., & Conway, B. A. (2006). Predicting intention and direction of wrist movement from EEG. In Advances in Medical, Signal and Information Processing, 2006. MEDSIP 2006. IET 3rd International Conference On (520 ed., pp. 30). (IET Conference Publications). Stevenage, United Kingdom. https://doi.org/10.1049/cp:20060383
Valsan, G. ; Worrajiran, P. ; Lakany, H. ; Conway, B.A. / Predicting intention and direction of wrist movement from EEG. Advances in Medical, Signal and Information Processing, 2006. MEDSIP 2006. IET 3rd International Conference On. 520. ed. Stevenage, United Kingdom, 2006. pp. 30 (IET Conference Publications).
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Valsan, G, Worrajiran, P, Lakany, H & Conway, BA 2006, Predicting intention and direction of wrist movement from EEG. in Advances in Medical, Signal and Information Processing, 2006. MEDSIP 2006. IET 3rd International Conference On. 520 edn, IET Conference Publications, Stevenage, United Kingdom, pp. 30. https://doi.org/10.1049/cp:20060383

Predicting intention and direction of wrist movement from EEG. / Valsan, G.; Worrajiran, P.; Lakany, H.; Conway, B.A.

Advances in Medical, Signal and Information Processing, 2006. MEDSIP 2006. IET 3rd International Conference On. 520. ed. Stevenage, United Kingdom, 2006. p. 30 (IET Conference Publications).

Research output: Chapter in Book/Report/Conference proceedingChapter

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Valsan G, Worrajiran P, Lakany H, Conway BA. Predicting intention and direction of wrist movement from EEG. In Advances in Medical, Signal and Information Processing, 2006. MEDSIP 2006. IET 3rd International Conference On. 520 ed. Stevenage, United Kingdom. 2006. p. 30. (IET Conference Publications). https://doi.org/10.1049/cp:20060383