1. Figure 1 General framework of brain–computer interface (BCI) systems
Figure 1 | General framework of brain–computer interface (BCI) systems. Invasive BCI approaches (left) include the measurement of local field potentials (LFPs), single-unit activity (SUA), multi-unit activity (MUA), and electrocorticography (ECoG). Noninvasive BCI approaches (right) include EEG, blood oxygenation level-dependent (BOLD) functional MRI, and near-infrared spectroscopy (NIRS). Brain signals are processed to extract features relevant to the aim of the BCI (for example, communication) and then classified using a translational algorithm to construct a control signal that drives the BCI. BCIs can be classified as assistive to help patients with communication or movement, or as rehabilitative to help recover neural function.
Chaudhary, U. et al. (2016) Brain–computer interfaces for communication and rehabilitation
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