EEG Signal Processing and Machine Learning. Saeid Sanei

Читать онлайн книгу.

EEG Signal Processing and Machine Learning - Saeid Sanei


Скачать книгу
EEG‐Based Emotion Recognition and Classification 14.1 Introduction 14.2 Effect of Emotion on the Brain 14.3 Emotion‐Related Brain Signal Processing and Machine Learning 14.4 Other Physiological Measurement Modalities Used for Emotion Study 14.5 Applications 14.6 Pain Assessment Using EEG 14.7 Emotion Elicitation and Induction through Virtual Reality 14.8 Summary References

      21  15 EEG Analysis of Neurodegenerative Diseases 15.1 Introduction 15.2 Alzheimer's Disease 15.3 Motor Neuron Disease 15.4 Parkinson's Disease 15.5 Huntington's Disease 15.6 Prion Disease 15.7 Behaviour Variant Frontotemporal Dementia 15.8 Lewy Body Dementia 15.9 Summary References

      22  16 EEG As A Biomarker for Psychiatric and Neurodevelopmental Disorders 16.1 Introduction 16.2 EEG Analysis for Different NDDs 16.3 Summary References

      23  17 Brain–Computer Interfacing Using EEG 17.1 Introduction 17.2 BCI‐Related EEG Components 17.3 Major Problems in BCI 17.4 Multidimensional EEG Decomposition 17.5 Detection and Separation of ERP Signals 17.6 Estimation of Cortical Connectivity 17.7 Application of Common Spatial Patterns 17.8 Multiclass Brain–Computer Interfacing 17.9 Cell‐Cultured BCI 17.10 Recent BCI Applications 17.11 Neurotechnology for BCI 17.12 Joint EEG and Other Brain‐Scanning Modalities for BCI 17.13 Performance Measures for BCI Systems 17.14 Summary References

      24  18 Joint Analysis of EEG and Other Simultaneously Recorded Brain Functional Neuroimaging Modalities 18.1 Introduction 18.2 Fundamental Concepts 18.3 Joint EEG–fMRI 18.4 EEG–NIRS Joint Recording and Fusion 18.5 MEG–EEG Fusion 18.6 Summary References

      25  Index

      26  End User License Agreement

      List of Tables

      1 Chapter 5Table 5.1 Maximum number of separable sources using different tensor‐based ...

      2 Chapter 9Table 9.1 Kn and Pn for different recursive algorithms.

      3 Chapter 10Table 10.1 Most popular academic and commercial software packages that can ...

      4 Chapter 12Table 12.1 The time, frequency, and amplitudes of both SWA and sleep spindle...

      5 Chapter 18Table 18.1 Normalized correlation between the extracted BOLD time course and...

      List of Illustrations

      1 Chapter 1Figure 1.1 Hieroglyphic symbol for the ancient Egyptian word for ‘brain’.Figure 1.2 Physiologists Adolf Beck (Polish, 1863–1942) on the left and Vlad...Figure 1.3 The neuron membrane potential changes and current flow during syn...Figure 1.4 An example of an AP.Figure 1.5 Changing the membrane potential for a giant squid by closing the ...Figure 1.6 Structure of a neuron.Figure 1.7 The head layers from brain to scalp.Figure 1.8 Diagrammatic representation of the major parts of the brain.

      2 Chapter 2Figure 2.1 Five (can be categorized as four) typical dominant brain normal r...Figure 2.2 Different waveforms that may appear in the EEG while awake or dur...Figure 2.3 Conventional 10–20 EEG electrode positions for the placement of 2...Figure 2.4 A diagrammatic representation of 10–20 electrode settings for 75 ...Figure 2.5 A typical set of EEG signals during approximately seven seconds o...Figure


Скачать книгу