Chapter 8 Brain Computer Interfaces for Cerebral Palsy

1. Introduction

2. Examples of success

3. Evaluation and classification

3.1. Neuromotor examination of neonates and infants

4. Nature and typology of the motor disorder

5. Functional motor abilities

6. Accompanying impairments

7. Implications for everyday life

8. Attentional processes

9. Communication system

9.1. Brain signals

9.2. Functional neuroimaging

9.3. Recording and processing

9.3.1. Electrode distribution

9.3.2. Artifacts

9.4. BCI signal processing

9.5. Evoked potentials and oscillatory activity patterns

9.6. BCI control commands

9.6.1. Motor imaginary

9.6.2. Slow cortical potentials

9.6.3. The P300 wave of visual evoke potentials

9.6.4. Steady State Visual Evoked Potential

9.7. Feature extraction

9.7.1. Temporal methods

9.7.2. Frequency methods

9.8. Classification techniques

9.8.1. Linear classifiers

9.8.2. Neural networks

9.8.3. Non-linear Bayesian classifiers

9.8.4. Nearest Neighbor classifiers

9.8.5. Combinations of classifiers

9.9. State of the art

9.10. Co-adaptive training

9.11. Hybrid BCI

9.12. HCI recording

9.13. Methodology

10. Conclusion

Author details

References