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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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So-called motor imagery brain-computer interfaces (MI-BCIs) introduce ways to decode mental images of person's own body parts movement into control signal for external devices. MI-BCI is also considered to be helpful as a training technique for neurorehabilitation of people with motor disabilities. So far, the knowledge of optimal movement imagery strategies for various BCI applications is limited. The objective of present study was to investigate localization and characteristics of EEG patterns during motor imagery of different parts of upper limbs in order to determine how their features might influence the BCI performance. https://ww4.aievolution.com/hbm1501/index.cfm?do=abs.viewAbs&abs=1523