Decoding Upper Limb Movement Velocity for Stroke Rehabilitation View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Enrique Hortal , Eduardo Iáñez , Andrés Úbeda , Daniel Tornero , José M. Azorín

ABSTRACT

The main goal of this paper is decoding the movement velocity of the upper limb to be applied in a future rehabilitation procedures in patients suffering from a stroke. For that purpose, the one-dimensional upper limb movements have been reconstructed by analyzing information from electroencephalographic signals (EEG). The EEG signals were recorded using 16 electrodes. The user made vertical movements with the mouse. The cursor position was stored and used to obtain the parameters of a linear model that decodes the information from the EEG signals to the real hand trajectory and velocity. Preliminary results suggest that it is possible to approximate the movement velocity with sufficient accuracy. This decoding could be used to perform more complex movements in stroke rehabilitation. More... »

PAGES

415-419

References to SciGraph publications

  • 2001-01. Actions from thoughts in NATURE
  • Book

    TITLE

    Converging Clinical and Engineering Research on Neurorehabilitation

    ISBN

    978-3-642-34545-6
    978-3-642-34546-3

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-34546-3_67

    DOI

    http://dx.doi.org/10.1007/978-3-642-34546-3_67

    DIMENSIONS

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