Closed-loop motor imagery EEG simulation for brain-computer interfaces
In a brain-computer interface (BCI) system, the testing of decoding algorithms, tasks, and their parameters is critical for optimizing performance. However, conducting human experiments can be costly and time-consuming, especially when investigating broad sets of parameters. Attempts to utilize prev...
المؤلفون الرئيسيون: | Hyonyoung Shin, Daniel Suma, Bin He |
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التنسيق: | مقال |
اللغة: | English |
منشور في: |
Frontiers Media S.A.
2022-08-01
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سلاسل: | Frontiers in Human Neuroscience |
الموضوعات: | |
الوصول للمادة أونلاين: | https://www.frontiersin.org/articles/10.3389/fnhum.2022.951591/full |
مواد مشابهة
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CHANGES IN PATTERNS OF SENSORIMOTOR EEG RHYTHMS DURING MOTOR IMAGERY
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منشور في: (2016-03-01) -
Does Real-Time Feedback Affect Sensorimotor EEG Patterns in Routine Motor Imagery Practice?
حسب: Anatoly N. Vasilyev, وآخرون
منشور في: (2021-09-01) -
Tensor Decomposition Analysis of Longitudinal EEG Signals Reveals Differential Oscillatory Dynamics in Eyes-Closed and Eyes-Open Motor Imagery BCI: A Case Report
حسب: Saman Seifpour, وآخرون
منشور في: (2023-06-01) -
Riemannian geometry metric-based visual feedback for BCI user training: towards exploratory learning of motor imagery
حسب: Nicolas Ivanov, وآخرون
منشور في: (2024-12-01) -
Discrepancy between inter- and intra-subject variability in EEG-based motor imagery brain-computer interface: Evidence from multiple perspectives
حسب: Gan Huang, وآخرون
منشور في: (2023-02-01)