Use of Wavelets for Recognizing Types of Motion by Means of Data on the Electrical Activity of the Brain

D. S. Grishina; A. N. Pavlov; O. N. Pavlova; A. E. Runnova

doi:10.1134/S1063785019080224

Use of Wavelets for Recognizing Types of Motion by Means of Data on the Electrical Activity of the Brain

Авторы: Grishina D.S.¹, Pavlov A.N.¹^,2, Pavlova O.N.², Runnova A.E.³
Учреждения:
1. Yuri Gagarin State Technical University of Saratov
2. Saratov State University
3. Innopolis University
Выпуск: Том 45, № 8 (2019)
Страницы: 820-822
Раздел: Article
URL: https://journal-vniispk.ru/1063-7850/article/view/208402
DOI: https://doi.org/10.1134/S1063785019080224
ID: 208402

Цитировать

Полный текст

Открытый доступ
Доступ закрыт

Доступ предоставлен
Доступ закрыт

Только для подписчиков

Аннотация
Об авторах
Список литературы
Дополнительные файлы
Статистика

Аннотация

We consider the task of oscillatory pattern recognition on the fragments of electroencephalogram records obtained during motion and their mental representation for the development of a neurointerface software. Using a multiscale analysis, the number of channels is estimated that will provide reliable separation of motions of various types from background activity.