Brainloop
 
8. Direct Brain–Computer Communication
  8.1. A short overview of EEG-based BCI systems

EEG-based brain–computer interfaces (BCI) can be realized in an externally (stimulus)-paced mode (synchronous BCI) or in an internally paced mode (asynchronous BCI).

In externally (stimulus)-paced mode, specific mental states have to be generated in response to an external event that means changes of brain activity occur in a predefined time window.

In internally paced mode, the subject is free to intend a mental state or a specific thought.

As early as 1996, the Graz group reported on an EEG based BCI able to discriminate between three brain states, where the subject was instructed to execute a specific movement (right hand, left hand, right foot) in the first three sessions and to imagine the same movement in the next 1–2 sessions.

The next important step in the Graz BCI was to select the most reactive frequency bands for each subject by using the distinction sensitive learning vector quantization.

 
8. Direct Brain–Computer Communication
  8.1. A short overview of EEG-based BCI systems
8.2. Neurophysiological considerations
  8.2.1. Dynamics of Brain Oscillations
8.2.2. Motor Imagery
8.3. Components of graz BCI
  8.3.1. Parameter Estimation and Classification
  8.3.1.1. Band Power Estimates
8.3.1.2. Adaptive Autoregressive Model
8.3.1.3. Common Spatial Patterns
8.3.1.4. Hidden Markov Model
8.3.2. Hardware–Software Requirements
  8.4. Man–Machine Learning Dilemma (MMLD)
  8.5. Visual target stimulus modifying the EEG
   

Source: Motor Imagery and Direct Brain–Computer Communication, Gert Pfurtscheller and Christa Neuper
 
 
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