Material Detail

Feedback-Regulated Mental Imagery in BCI Applications: Using Non-Invasive EEG and NIRS Signals

Feedback-Regulated Mental Imagery in BCI Applications: Using Non-Invasive EEG and NIRS Signals

This video was recorded at BBCI Workshop: Advances in Neurotechnologies, Berlin 2009. An important issue of brain-computer interface (BCI) development is to detect changes in brain signals that are related to specific intentions or thought processes. For example, mental motor imagery modulates the sensorimotor brain activity, and the detected changes can be used to operate a computer-controlled device. Clinical applications of this technology include the restoration of movement, such as control of grasping with the help of a neuroprosthesis, in severely paralyzed individuals. The motor imagery based BCI training may further be useful as a complementary therapeutic tool to facilitate functional recovery after stroke. To date, the majority of BCI systems rely on EEG recordings. However,... Show More
Rate

Quality

  • Editor Reviews
  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material

Browse...

Disciplines with similar materials as Feedback-Regulated Mental Imagery in BCI Applications: Using Non-Invasive EEG and NIRS Signals

Comments

Log in to participate in the discussions or sign up if you are not already a MERLOT member.