Brain Sensors and Signals



This chapter describes the sensors and brain signals that are commonly used for brain–computer interfacing. The two brain signal features that have been primarily used in humans, i.e., sensorimotor rhythms and the P300 evoked potential, are presented in detail. In addition, this chapter gives a practical introduction to EEG recordings, describes electrode materials and placement, and describes how to deal with the most important artifacts in EEG recordings. Finally, it provides an overview of BCI signal processing techniques that cover feature extraction and feature translation.


Motor Imagery Computer Interface Brain Signal Beta Rhythm Translation Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag London Limited 2010

Authors and Affiliations

  1. 1.Wadsworth CenterNew York State Department of HealthAlbanyUSA
  2. 2.Institute of Medical Psychology & Behavioral NeurobiologyUniversity of TübingenTübingenGermany

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