EEG-Based Brain-Computer Interfaces : Cognitive Analysis and Control Applications /: Cognitive Analysis and Control Applications. ([2019])
- Record Type:
- Book
- Title:
- EEG-Based Brain-Computer Interfaces : Cognitive Analysis and Control Applications /: Cognitive Analysis and Control Applications. ([2019])
- Main Title:
- EEG-Based Brain-Computer Interfaces : Cognitive Analysis and Control Applications
- Further Information:
- Note: Dipali Bansal, Rashima Mahajan.
- Authors:
- Bansal, Dipali
Mahajan, Rashima - Contents:
- Front Cover; EEG-Based Brain-Computer Interfaces: Cognitive Analysis and Control Applications; Copyright; Contents; Preface; Acknowledgments; Chapter 1: Introduction; 1.1. Rationale; 1.1.1. BCI Success Stories; 1.1.2. BCI Market Analysis; 1.2. Technical Overview; 1.2.1. Brain Anatomy; 1.2.2. From Brain to Computer; 1.2.3. Previous Work Related to Voluntary Eyeblink-Based BCI and Control; 1.3. Objectives; References; Chapter 2: EEG-Based Brain-Computer Interfacing (BCI); 2.1. Introduction; 2.1.1. EEG-Based BCI Architecture; 2.1.1.1. Signal Acquisition; 2.1.1.2. Preprocessing 2.1.1.3. Feature Extraction2.1.1.4. Classification; 2.1.1.5. Translation Into Operative Control Signals; 2.2. Techniques in BCI; 2.2.1. Invasive and Partially-Invasive BCI Techniques; 2.2.1.1. Electrocorticography (ECoG); 2.2.1.2. Intracortical Neuron Recording; 2.2.2. Noninvasive BCI Techniques; 2.2.2.1. Magnetoencephalography (MEG); 2.2.2.2. Functional Magnetic Resonance Imaging; 2.2.2.3. Functional Near-Infrared Spectroscopy (fNIRS); 2.2.2.4. Electroencephalography (EEG); 2.3. Data Acquisition; 2.3.1. Brain Electric Potential; 2.3.2. EEG Electrode Positioning; 2.3.3. EEG Electrodes 2.3.4. EEG Signals and Rhythms2.3.5. Preamplification, Filtering and Analog-to-Digital Conversion; 2.4. Preprocessing; 2.4.1. EEG Artifacts; 2.4.1.1. Physiological Artifacts; 2.4.1.2. Nonphysiological Artifacts; 2.4.2. EEG Artifact Rejection; 2.4.2.1. Artifact Rejection Using Temporal Filtering; 2.4.2.2. Artifact RejectionFront Cover; EEG-Based Brain-Computer Interfaces: Cognitive Analysis and Control Applications; Copyright; Contents; Preface; Acknowledgments; Chapter 1: Introduction; 1.1. Rationale; 1.1.1. BCI Success Stories; 1.1.2. BCI Market Analysis; 1.2. Technical Overview; 1.2.1. Brain Anatomy; 1.2.2. From Brain to Computer; 1.2.3. Previous Work Related to Voluntary Eyeblink-Based BCI and Control; 1.3. Objectives; References; Chapter 2: EEG-Based Brain-Computer Interfacing (BCI); 2.1. Introduction; 2.1.1. EEG-Based BCI Architecture; 2.1.1.1. Signal Acquisition; 2.1.1.2. Preprocessing 2.1.1.3. Feature Extraction2.1.1.4. Classification; 2.1.1.5. Translation Into Operative Control Signals; 2.2. Techniques in BCI; 2.2.1. Invasive and Partially-Invasive BCI Techniques; 2.2.1.1. Electrocorticography (ECoG); 2.2.1.2. Intracortical Neuron Recording; 2.2.2. Noninvasive BCI Techniques; 2.2.2.1. Magnetoencephalography (MEG); 2.2.2.2. Functional Magnetic Resonance Imaging; 2.2.2.3. Functional Near-Infrared Spectroscopy (fNIRS); 2.2.2.4. Electroencephalography (EEG); 2.3. Data Acquisition; 2.3.1. Brain Electric Potential; 2.3.2. EEG Electrode Positioning; 2.3.3. EEG Electrodes 2.3.4. EEG Signals and Rhythms2.3.5. Preamplification, Filtering and Analog-to-Digital Conversion; 2.4. Preprocessing; 2.4.1. EEG Artifacts; 2.4.1.1. Physiological Artifacts; 2.4.1.2. Nonphysiological Artifacts; 2.4.2. EEG Artifact Rejection; 2.4.2.1. Artifact Rejection Using Temporal Filtering; 2.4.2.2. Artifact Rejection Using Spatial Filtering; 2.5. Feature Extraction; 2.5.1. EEG Signal Representation in Time Domain; 2.5.1.1. Event-Related Synchronization/Desynchronization (ERS/ERD); 2.5.1.2. Evoked Potentials; 2.5.1.3. Slow Cortical Potentials 2.5.2. EEG Signal Representation in Frequency Domain2.5.2.1. Band Power Features; 2.5.2.2. PSD Features; 2.5.3. EEG Signal Representation in Time-Frequency Domain; 2.5.3.1. Short-Time Fourier Transform; 2.5.3.2. Wavelet Transform; 2.5.4. EEG Signal Representation in Spatial Domain; 2.6. Classification; 2.6.1. Linear Classifiers; 2.6.2. Nonlinear Classifiers; 2.6.3. BCI Performance; 2.7. BCI Applications; 2.7.1. BCI: Clinical Applications; 2.7.1.1. BCI-Based Assistive Devices for Communication; 2.7.1.2. BCI-Based Assistive Devices for Locomotion and Movement 2.7.1.3. BCI for Neurorehabilitation2.7.1.4. BCI for Cognitive State Analysis; 2.7.1.5. BCI for Medical Diagnostics; 2.7.2. BCI: Nonclinical Applications; 2.7.2.1. BCI in Neuroergonomics; 2.7.2.2. BCI for Smart Home; 2.7.2.3. BCI in Neuromarketing and Advertising; 2.7.2.4. BCI for Games and Entertainment; 2.7.2.5. BCI for Security and Validation; 2.8. Conclusion; References; Further Reading; Chapter 3: Real-Time EEG Acquisition; 3.1. Introduction; 3.2. Overview of Acquisition Units; 3.2.1. Selection Criteria in Terms of Specifications; 3.2.2. EEG Devices; 3.2.2.1. Emotive Epoc/Epoc+ Headset … (more)
- Publisher Details:
- London : Academic Press
- Publication Date:
- 2019
- Extent:
- 1 online resource
- Subjects:
- 616.8/047547
Electroencephalography
Brain-computer interfaces
HEALTH & FITNESS / Diseases / General
MEDICAL / Clinical Medicine
MEDICAL / Diseases
MEDICAL / Evidence-Based Medicine
MEDICAL / Internal Medicine
Electronic books - Languages:
- English
- ISBNs:
- 9780128146880
0128146885 - Related ISBNs:
- 9780128146873
- Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (EBSCO, viewed March 21, 2019).
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- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- British Library HMNTS - ELD.DS.404097
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