Development of intelligent system for classification of multiple human brain states corresponding to different real and imaginary movements

Pisarchik, Alexander N., Runnova, Anastasiya E. and Hramov, Alexander (2017). Development of intelligent system for classification of multiple human brain states corresponding to different real and imaginary movements. "Cybernetics and Physics", v. 6 (n. 6); pp. 103-107. ISSN 2226-4116.

Description

Title: Development of intelligent system for classification of multiple human brain states corresponding to different real and imaginary movements
Author/s:
  • Pisarchik, Alexander N.
  • Runnova, Anastasiya E.
  • Hramov, Alexander
Item Type: Article
Título de Revista/Publicación: Cybernetics and Physics
Date: 2017
ISSN: 2226-4116
Volume: 6
Subjects:
Faculty: Centro de Tecnología Biomédica (CTB) (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this paper we considered the technique for classification of different types of electroencephalogram activity corresponded to different types of real and imaginary movement. We developed experimental design and performed series of experiments on volunteers for real and imaginary movements of hands and legs. We proposed a system based on artificial neural networks for classification of multiple human brain states corresponding to different real and imaginary movements. We provided testing and found optimal for this task size of input signal and structure of artificial neural network.

More information

Item ID: 50558
DC Identifier: https://oa.upm.es/50558/
OAI Identifier: oai:oa.upm.es:50558
Official URL: http://lib.physcon.ru/doc?id=7b69a1475a67
Deposited by: Memoria Investigacion
Deposited on: 02 Dec 2022 11:46
Last Modified: 02 Dec 2022 11:46
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