Skip to content

Instantly share code, notes, and snippets.

@jdpigeon

jdpigeon/lessonsFromNTXStudentOpenChallenge.md

Created April 12, 2018 14:53
Show Gist options

  • Select an option

    Learn more about clone URLs
  • Save jdpigeon/d81b4104893c12b837e6b2f3a15a7461 to your computer and use it in GitHub Desktop.

Select an option

Learn more about clone URLs
Save jdpigeon/d81b4104893c12b837e6b2f3a15a7461 to your computer and use it in GitHub Desktop.
Download ZIP

Revisions

  1. jdpigeon created this gist Apr 12, 2018.
    25 changes: 25 additions & 0 deletions lessonsFromNTXStudentOpenChallenge.md
    View file
    Original file line number Diff line number Diff line change
    @@ -0,0 +1,25 @@
    ## NeuroTechUofT
    - Encountered performance bottlenecks when running BCI paradigms in Python in real time. Overcame somewhat by using specific data structures such as trees
    - Had to use Muse 2014
    - multi-class motor classification seds estimation approach ? Ran into trouble with source localization using Muse (figures). Found paper using 8 channel EEG to classify hand gestures based on spectral data (freiburg)
    - With P300 speller, encountered significant marker variability that messed up ERP detection.
    - Signal quality issues with motor imagery task (muse?)

    ## MINT
    - Implemented flanker test on Android w/ Muse
    - Looked for alpha and beta suppression in order to evaluate ADD
    - Hard hard time making app "stable"
    - Looks like native Android app

    ## SynapsETS
    - Used muse-io and Unity
    - Sent EEG and EMG data from Unity over UDP to a python script to communicate with RP PI
    - Open source on GitHub

    ## MACtion Potential
    - Tried to build a robotic arm to move right or left depending on motor imagery
    - GitHub for technical overview and code

    ## Merlin NeuroTech
    - Merlin blog and Github for info
    - Moving to support OpenBCI as well