Publication:
Cooperative Multi-user Motor-Imagery BCI Based on the Riemannian Manifold and CSP Classifiers

Дата
2022
Авторы
Titaev, S. A.
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Издатель
Научные группы
Организационные подразделения
Организационная единица
Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
Выпуск журнала
Аннотация
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.The field in which the work was carried out is the field of neuroscience: neuroengineering - it deals with the study, restoration or improvement of the nervous system by using various engineering methods. Research in this area can provide a scientific understanding detail working of our brain, study many difficult processes, their nature, etc. Based on this knowledge, we can also find ways to rehabilitate various pathological diseases, develop the field of neuroimplants and neuroprosthetics for people, including people with disabilities. Research and projects that require the cooperative interaction of several users can be promising - this can be, for example, the study of various processes corresponding to the psychological or social aspects of human behavior, or the development of such interfaces for the introduction of existing electronic computing systems and mechanisms into the controls. This article describes work that includes research of the possibility of creating a cooperative BCI, an attempt to create it and research of the possibility of using BCI in the rehabilitation of disorders in brain activity caused by stroke.
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Цитирование
Titaev, S. A. Cooperative Multi-user Motor-Imagery BCI Based on the Riemannian Manifold and CSP Classifiers / Titaev, S.A. // Studies in Computational Intelligence. - 2022. - 1032 SCI. - P. 542-551. - 10.1007/978-3-030-96993-6_60
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