Brainloop
 
4. BCI - Brain–computer interfaces 
    4.2. Present-day BCIs
  4.2.2. Slow cortical potentials

Among the lowest frequency features of the scalprecorded EEG are slow voltage changes generated in cortex. These potential shifts occur over 0.5–10.0 s and are called slow cortical potentials (SCPs).
Negative SCPs are typically associated with movement while positive SCPs are usually associated with reduced cortical activation. People can learn to control SCPs and thereby control movement of an object on a computer screen. This demonstration is the basis for a BCI referred to as a 'thought translation device' (TTD).

SCPs are extracted by appropriate filtering, corrected for EOG activity, and fed back to the user via visual feedback from a computer screen that shows one choice at the top and one at the bottom. Selection takes 4s.
During a 2s baseline period, the system measures the user’s initial voltage level. In the next 2 s, the user selects the top or bottom choice by decreasing or increasing the voltage level by a criterion amount. The voltage is displayed as vertical movement of a cursor and final selection is indicated in a variety of ways. The BCI can also operate in a mode that gives auditory or tactile feedback. Users train in several 1–2 h sessions/week over weeks or months. When they consistently achieve accuracies of about 75%, they are switched to a language support program (LSP).

 
4. BCI - Intro
  4.1. Definition and features of a BCI
  4.1.1. Dependent and independent BCIs
4.1.2. BCI use is a skill
4.1.3. The parts of a BCI
  4.1.3.1. Signal acquisition
4.1.3.2. Signal processing: feature extraction
4.1.3.3. Signal processing: the translation algorithm
4.1.3.4. The output device
4.1.3.5. The operating protocol
4.2. Present-day BCIs
  4.2.1. Visual evoked potentials
4.2.2. Slow cortical potentials
4.2.3. P300 evoked potentials
4.2.4. Mu and beta rhythms
  4.2.4.1. The Wadsworth BCI
4.2.4.2. The Graz BCI
4.2.5. Cortical neuronal action potentials
4.3. The future of BCI-based communication
   

Source: Brain–computer interfaces for communication and control, Clinical Neurophysiology 113 (2002) 767–791, Jonathan R. Wolpaw, Niels Birbaumer, Dennis J. McFarland, Gert Pfurtscheller, Theresa M. Vaughan
 
 
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