Brain-computer interfaces : current trends and applications /
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| Imprint: | Cham : Springer, [2015] ©2015 |
|---|---|
| Description: | 1 online resource (xv, 416 pages) : illustrations (some color). |
| Language: | English |
| Series: | Intelligent Systems Reference Library, 1868-4394 ; volume 74 Intelligent systems reference library ; volume 74. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11089254 |
Table of Contents:
- Foreword; Preface; Contents; Part I General Views on Brain-ComputerInterfacing; 1 Brain Computer Interface: A Review; Abstract; 1.1 Introduction; 1.2 Neuroimaging-Based Approaches in the BCI; 1.2.1 The Neuroimaging Modalities; 1.2.1.1 Electroencephalography; 1.2.1.2 Electrocorticography; 1.2.1.3 Magnetoencephalography; 1.2.1.4 Intracortical Neuron Recording; 1.2.1.5 Functional Magnetic Resonance Imaging; 1.2.1.6 Near Infrared Spectroscopy; 1.3 Control Signals in BCI Systems; 1.3.1 EEG Signal Processing for BCI; 1.3.1.1 Data Collection Through Electrodes.
- 1.3.1.2 Pre-processing Methods in BCI Designs1.3.1.3 Sources of Noise in EEG Signal; 1.3.2 Preprocessing Techniques that Deal with EOG/EMG Artifacts; 1.3.3 Feature Extraction for BCI Designs; 1.3.3.1 EEG Features; 1.3.3.2 Feature Dimension Reduction Techniques; 1.3.4 Classification Methods and Post-processing; 1.3.4.1 Properties of Classifiers; 1.3.4.2 Brief Survey of Classifiers Used in BCI Research; 1.3.4.3 Linear Classifiers; 1.3.4.4 Neural Networks; 1.3.4.5 Nonlinear Bayesian Classifiers; 1.3.4.6 Nearest Neighbor Classifiers; 1.3.4.7 Combinations of Classifiers.
- 1.3.5 Classification Performance Metrics1.4 Conclusion; References; 2 Basics of Brain Computer Interface; Abstract; 2.1 Introduction; 2.2 Brain Anatomy; 2.3 Brain Computer Interface Types; 2.3.1 Invasive BCI Acquisition Techniques; 2.3.2 Partially Invasive BCI Acquisition Techniques; 2.3.3 Non Invasive BCI Acquisition Techniques; 2.4 Types of BCI Signals; 2.5 Components of Interest; 2.5.1 Oscillatory EEG Activity; 2.5.2 Event-Related Potentials; 2.6 Monitoring Brain Activity Using EEG; 2.7 BCI System; 2.8 BCI Monitoring Hardware and Software; 2.9 Brain Computer Interface Applications.
- 2.10 BCI Trends2.11 Conclusion; References; 3 Noninvasive Electromagnetic Methods for Brain Monitoring: A Technical Review; Abstract; 3.1 Introduction; 3.2 Human Brain Anatomy; 3.3 Brain Diseases; 3.4 Noninvasive Brain Monitoring; 3.4.1 Advantages of PET; 3.4.2 Disadvantages of PET; 3.5 Electromagnetic Brain Monitoring Methods; 3.5.1 Brain Metabolism and Brain Imaging; 3.5.2 Electroencephalography (EEG); 3.5.2.1 History; 3.5.2.2 EEG Potentials; 3.5.2.3 Source of Brain Potentials; 3.5.2.4 The EEG Interpretation; 3.5.2.5 Brain Waves and EEG Diagnosis; 3.5.2.6 Why EEG; 3.5.2.7 How It Works.
- 3.5.2.8 EEG Instrumentation3.5.2.9 Preparation for an EEG Test; 3.5.2.10 Regular or Standard EEG; 3.5.2.11 Sleep-Deprived EEG; 3.5.2.12 Long Term EEG; 3.5.2.13 Ambulatory EEG; 3.5.2.14 Advantages of EEG; 3.5.2.15 Disadvantages; 3.5.2.16 Electrode Placement in EEG: 10 & hx2013; 20 System (EEG); 3.5.3 Magnetoencephalography (MEG); 3.5.3.1 History; 3.5.3.2 Why Is an MEG Performed?; 3.5.3.3 How MEG Work; 3.5.3.4 Advantages of MEG; 3.5.3.5 Disadvantages of MEG; 3.5.4 Electrocorticography (ECoG); 3.5.4.1 Clinical Applications; 3.5.4.2 Advantages of ECoG; 3.5.4.3 Disadvantages of ECoG.