• DocumentCode
    746748
  • Title

    Movement-Related Cortical Potentials Allow Discrimination of Rate of Torque Development in Imaginary Isometric Plantar Flexion

  • Author

    Nascimento, Omar Feix Do ; Farina, Dario

  • Author_Institution
    Dept. of Health Sci. & Technol., Aalborg Univ., Aalborg
  • Volume
    55
  • Issue
    11
  • fYear
    2008
  • Firstpage
    2675
  • Lastpage
    2678
  • Abstract
    The aim of this study was to discriminate on a single-trial basis the cortical activity associated to two rates of torque development (RTDs) in imaginary isometric plantar flexions. Electroencephalographic (EEG), electrooculographic (EOG), and electromyographic (EMG) signals were recorded while ten healthy subjects imagined right-sided isometric ankle plantar-flexion tasks at moderate [from 0% to 60% of the maximal voluntary contraction (MVC) in 4 s] and ballistic (from 0% to 60% MVC as fast as possible) RTDs. The EEG signals were classified using feature extraction based on the marginal distribution of a discrete wavelet transform with optimization of the mother wavelet. The classifier was based on support vector machines (SVMs). Minimum misclassification rate for the best case was 8.3%. Average minimum misclassification rate over the ten subjects was (17.4 plusmn 8.4)%. The two RTDs could be best differentiated from channel C4 on average. In conclusion, different RTDs could be differentiated in imaginary isometric plantar-flexion by only using cortical potentials recorded with surface EEG. This result constitutes the first step for the development of a new type of brain-computer interfaces that rely on kinetic parameters of a single limb rather than movements of opposite limbs.
  • Keywords
    biocybernetics; bioelectric phenomena; electro-oculography; electroencephalography; electromyography; feature extraction; medical signal processing; pattern classification; support vector machines; wavelet transforms; EEG signals; EMG signals; EOG signals; SVM; ballistic RTD; brain-computer interface development; discrete wavelet transform; electroencephalographic signals; electromyographic signals; electrooculographic signals; feature extraction; imaginary isometric plantar flexion; imagined right sided isometric ankle plantar flexion; moderate RTD; mother wavelet optimization; movement related cortical potentials; support vector machines; torque development rate; Brain computer interfaces; Discrete wavelet transforms; Electroencephalography; Electromyography; Electrooculography; Feature extraction; Kinetic theory; Support vector machine classification; Support vector machines; Torque; Brain–computer interfaces (BCIs); movement-related cortical potentials (MRCPs); pattern recognition; wavelet optimization; Adult; Analysis of Variance; Cerebral Cortex; Electroencephalography; Electromyography; Electrooculography; Evoked Potentials, Motor; Female; Humans; Imagination; Isometric Contraction; Male; Models, Neurological; Motor Activity; Movement; Torque; User-Computer Interface; Young Adult;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2008.2001139
  • Filename
    4539795