EEG Signal Analysis and Classification

Part I. Introduction

1. Electroencephalogram (EEG) and Its Background
Siuly Siuly, Yan Li, Yanchun Zhang

2. Significance of EEG Signals in Medical and Health Research
Siuly Siuly, Yan Li, Yanchun Zhang

3. Objectives and Structures of the Book
Siuly Siuly, Yan Li, Yanchun Zhang

Part II. Techniques for the Diagnosis of Epileptic Seizures from EEG Signals

4. Random Sampling in the Detection of Epileptic EEG Signals
Siuly Siuly, Yan Li, Yanchun Zhang

5. A Novel Clustering Technique for the Detection of Epileptic Seizures
Siuly Siuly, Yan Li, Yanchun Zhang

6. A Statistical Framework for Classifying Epileptic Seizure from Multi-category EEG Signals
Siuly Siuly, Yan Li, Yanchun Zhang

7. Injecting Principal Component Analysis with the OA Scheme in the Epileptic EEG Signal Classification
Siuly Siuly, Yan Li, Yanchun Zhang

Part III. Methods for Identifying Mental States in Brain Computer Interface Systems

8. Cross-Correlation Aided Logistic Regression Model for the Identification of Motor Imagery EEG Signals in BCI Applications
Siuly Siuly, Yan Li, Yanchun Zhang

9. Modified CC-LR Algorithm for Identification of MI-Based EEG Signals
Siuly Siuly, Yan Li, Yanchun Zhang

10. Improving Prospective Performance in MI Recognition: LS-SVM with Tuning Hyper Parameters
Siuly Siuly, Yan Li, Yanchun Zhang

11. Comparative Study: Motor Area EEG and All-Channels EEG
Siuly Siuly, Yan Li, Yanchun Zhang

12. Optimum Allocation Aided Naïve Bayes Based Learning Process for the Detection of MI Tasks
Siuly Siuly, Yan Li, Yanchun Zhang

Part IV. Discussions, Future Directions and Conclusions

13. Summary Discussion on the Methods, Future Directions and Conclusions
Siuly Siuly, Yan Li, Yanchun Zhang

Avainsanat: Engineering, Signal, Image and Speech Processing, Health Informatics, Artificial Intelligence (incl. Robotics), Biomedical Engineering, Image Processing and Computer Vision, Information Systems Applications (incl. Internet)