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

1 Citation (Scopus)


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.
Original languageEnglish
Title of host publicationAdvances in Medical, Signal and Information Processing, 2006. MEDSIP 2006. IET 3rd International Conference On
Place of PublicationStevenage, United Kingdom
PublisherInstitution of Engineering and Technology
ISBN (Print)978-0-86341-658-3
Publication statusPublished - 19 Jul 2006

Publication series

NameIET Conference Publications
PublisherInstitution of Engineering and Technology


  • 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


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