# Movement Prediction from EEG based on Synergies
## Introduction
- Motivation 
- Techniques
    - BCI
    - EEG
    - LF
    - 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 cooperation with Medical Psychology ( Andrea Sarasola-Sanz ; Nerea Irastorza-Landa ; Farid Shiman; 2015)
- My history
    - load data
    - Where to cut?
    - Filtering of EEG
    - Classification
        - new Classification
            - thershold for Movement (Histogram)
        - Movement - Rest
        - different Movements
    - prediction kinematics
        - non-matching recordings
    - Synergies
        - PCA
        - NNMF
        - Autoencoder
        - How many synergies? (4 but 3) 
    - topographical plots
    - LF
- Parameters
    - timing, ...
    - SVM
    - Ridge

## Results

## Discussion

## Future work
