EEG data Classification & Anomaly Detection with NuPIC
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
motor_imagery
LICENSE.txt
README.md

README.md

Using Numenta's Hierachical Temporal Memory algorithm to classify EEG data

NB: EEG is the recording of electrical activity along the scalp - in other words, brainwaves :-)

Motor Imagery Classification (NuPIC Fall 2014 Hackathon)

  • motor_imagery contains the code for EEG motor imagery classification.
  • EGG data was recorded around the motor cortex.
  • The signals were recorded with a 8 channels EEG and OpenBCI board.
  • There are 3 phases: no movement, left hand, right hand.
  • The sampling rate is 4 ms.
  • This classifier was made at the Numenta Hackathon (NuPIC Fall 2014 Hackathon) where I gave a little demo.
  • See demo slides and video.