Open AccessBrain–computer technology‐based training system in the field of motor imagery
Author(s) -
Paszkiel Szczepan,
Dobrakowski Paweł
Publication year - 2020
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2019.0522
Subject(s) - motor imagery , emotive , computer science , session (web analytics) , neuroinformatics , scope (computer science) , brain–computer interface , field (mathematics) , training (meteorology) , training system , electroencephalography , motor system , neurorehabilitation , flex , artificial intelligence , human–computer interaction , psychology , rehabilitation , neuroscience , mathematics , meteorology , pure mathematics , telecommunications , philosophy , physics , data science , epistemology , world wide web , economics , programming language , economic growth
The proposed training system helps the examined people to generate motor images based on the example maps of the activity of neuronal cell fractions presented to them. The study involved 16 students at the Laboratory of Neuroinformatics and Decision Systems of the Technical University of Opole. The group was divided into two equal subgroups, one of which was acquainted with the operation of the system, while the other – considered as a control – was not. Electroencephalographic signals were recorded when users were imagining the upper limb movement for two subgroups before and after the imagery training in order to verify the introduction of the proposed training system. The area used for data acquisition as part of the monitoring session implemented with the use of the Emotiv EPOC Flex device is a sensorimotor cortex. As it results from the carried‐out literature analysis, it was the first attempt to use the 32‐channel Emotive EPOC Flex device in the scope of the training system construction in the field of motor imagery.