Development of electroencephalographic pattern classifiers for real and imaginary thumb and index finger movements of one hand.

Journal: Artificial intelligence in medicine
Published Date: Dec 18, 2014

Abstract

OBJECTIVE: This study aimed to find effective approaches to electroencephalographic (EEG) signal analysis and resolve problems of real and imaginary finger movement pattern recognition and categorization for one hand.

Authors

  • Konstantin M Sonkin
    System Analysis and Control department, Saint-Petersburg State Polytechnic University, Politekhnicheskaya 29, St. Petersburg 195251, Russia. Electronic address: sonkink@gmail.com.
  • Lev A Stankevich
    System Analysis and Control department, Saint-Petersburg State Polytechnic University, Politekhnicheskaya 29, St. Petersburg 195251, Russia.
  • Julia G Khomenko
    System Analysis and Control department, Saint-Petersburg State Polytechnic University, Politekhnicheskaya 29, St. Petersburg 195251, Russia; Neuroimaging Laboratory, N. P. Bechtereva Institute of the Human Brain Russian Academy of Sciences, acad. Pavlova 9, St. Petersburg 197376, Russia.
  • Zhanna V Nagornova
    Psychology Department, Saint-Petersburg Institute of International Economic Relations, Economics and Law, pr. Liteinii 42, St. Petersburg 191014, Russia; Laboratory of Comparative Ecological and Physiological Studies, Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences, pr. Toreza 44, St. Petersburg 194223, Russia.
  • Natalia V Shemyakina
    Psychology Department, Saint-Petersburg Institute of International Economic Relations, Economics and Law, pr. Liteinii 42, St. Petersburg 191014, Russia; Laboratory of Comparative Ecological and Physiological Studies, Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences, pr. Toreza 44, St. Petersburg 194223, Russia.

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