Continuous sensorimotor rhythm based brain computer interface learning in a large population
نویسندگان
چکیده
منابع مشابه
A scanning protocol for a sensorimotor rhythm-based brain-computer interface.
The scanning protocol is a novel brain-computer interface (BCI) implementation that can be controlled with sensorimotor rhythms (SMRs) of the electroencephalogram (EEG). The user views a screen that shows four choices in a linear array with one marked as target. The four choices are successively highlighted for 2.5s each. When a target is highlighted, the user can select it by modulating the SM...
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People can learn to control electroencephalogram (EEG) features consisting of sensorimotor-rhythm amplitudes and use this control to move a cursor in one, two or three dimensions to a target on a video screen. This study evaluated several possible alternative models for translating these EEG features into two-dimensional cursor movement by building an offline simulation using data collected dur...
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UNLABELLED To explore the reliability of a high performance brain-computer interface (BCI) using non-invasive EEG signals associated with human natural motor behavior does not require extensive training. We propose a new BCI method, where users perform either sustaining or stopping a motor task with time locking to a predefined time window. Nine healthy volunteers, one stroke survivor with righ...
متن کاملValue of amplitude, phase, and coherence features for a sensorimotor rhythm-based brain-computer interface.
Measures that quantify the relationship between two or more brain signals are drawing attention as neuroscientists explore the mechanisms of large-scale integration that enable coherent behavior and cognition. Traditional Fourier-based measures of coherence have been used to quantify frequency-dependent relationships between two signals. More recently, several off-line studies examined phase-lo...
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ژورنال
عنوان ژورنال: Scientific Data
سال: 2021
ISSN: 2052-4463
DOI: 10.1038/s41597-021-00883-1