EEG-Based Brain-Computer Interface for Control of Assistive Devices

  • Nikolay V. KapralovEmail author
  • Jaroslav V. Ekimovskii
  • Vyacheslav V. Potekhin
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 95)


The study describes an approach for supervisory control of a limb prosthesis and a mobile robot based on a non-invasive brain-computer interface. Key applications of the system are the maintenance of immobilized patients and rehabilitation procedures. An interface performs imaginary hand movement decoding using electroencephalographic signals. The decoding process consists of several steps: (1) signal acquisition; (2) signal preprocessing (filtering, artefact removal); (3) feature extraction; (4) classification. The study is focused on obtaining the best accuracy of decoding by comparing different feature extraction and classification methods. Several methods (Riemannian geometry-based) were tested offline. Furthermore, online testing of control capabilities using in-house data was performed.


EEG Brain-computer interface Assistive devices 



The work was financially supported by RFBR grant 16-29-08296.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Nikolay V. Kapralov
    • 1
    Email author
  • Jaroslav V. Ekimovskii
    • 1
  • Vyacheslav V. Potekhin
    • 1
  1. 1.Peter the Great St. Petersburg Polytechnic UniversitySaint PetersburgRussia

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