# Movement Prediction from EEG based on Synergies
## Introduction
- Motivation 
- Techniques
  - BCI
  - EEG
  - LF
  - SVM
  - Regression
  - Synergies
  - NN, esp. Autoencoders
- We'll see...
## Materials and Methods
- Tools
  - EEG 
    - (10-20)
    - pburg
  - EMG
  - CV
  - SVM
    - Confusion Matrix
    - Balancing
      - less bias
      - less computation time
  - ridge Regression
    - why ridge?
  - Neuronal Networks
  - PCA
  - NNMF
- Experiment data came from
- My history
  - load data
  - Where to cut?
  - Filtering of EEG
  - Classification
    - new Classification
      - thershold for Movement (Histogram)
    - Movement - Rest
    - different Movements
  - prediction kinematics
    - no Matching recordings
  - Synergies
    - PCA
    - NNMF
    - Autoencoder
    - How many synergies? (4 but 3) 
  - topographical plots
  - LF
- Parameters
  - timing, ...
  - SVM
  - Ridge
## Results
## Discussion
## Future work