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EEG-Based Brain-Computer Interfaces : Cognitive Analysis and Control Applications /
EEG-Based Brain-Computer Interface: Cognitive Analysis and Control Applications provides a technical approach to using brain signals for control applications, along with the EEG-related advances in BCI. The research and techniques in this book discuss time and frequency domain analysis on deliberate...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Academic Press,
[2019]
|
| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Bansal, Dipali, |e author. | |
| 245 | 1 | 0 | |a EEG-Based Brain-Computer Interfaces : |b Cognitive Analysis and Control Applications / |c Dipali Bansal, Rashima Mahajan. |
| 250 | |a First edition. | ||
| 264 | 1 | |a London : |b Academic Press, |c [2019] | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed March 21, 2019). | |
| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 520 | |a EEG-Based Brain-Computer Interface: Cognitive Analysis and Control Applications provides a technical approach to using brain signals for control applications, along with the EEG-related advances in BCI. The research and techniques in this book discuss time and frequency domain analysis on deliberate eye-blinking data as the basis for EEG-triggering control applications. In addition, the book provides experimental scenarios and features algorithms for acquiring real-time EEG signals using commercially available units that interface with MATLAB software for acquisition and control. | ||
| 650 | 0 | |a Electroencephalography. | |
| 650 | 0 | |a Brain-computer interfaces. | |
| 650 | 1 | 2 | |a Brain-Computer Interfaces |0 (DNLM)D062207 |
| 650 | 2 | 2 | |a Electroencephalography |0 (DNLM)D004569 |
| 650 | 6 | |a �Electroenc�ephalographie. |0 (CaQQLa)201-0021971 | |
| 650 | 6 | |a Interfaces cerveau-ordinateur. |0 (CaQQLa)000261628 | |
| 650 | 7 | |a HEALTH & FITNESS |x Diseases |x General. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Clinical Medicine. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Diseases. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Evidence-Based Medicine. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Internal Medicine. |2 bisacsh | |
| 650 | 7 | |a Brain-computer interfaces |2 fast |0 (OCoLC)fst01742078 | |
| 650 | 7 | |a Electroencephalography |2 fast |0 (OCoLC)fst00906445 | |
| 700 | 1 | |a Mahajan, Rashima, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Bansal, Dipali. |t EEG-Based Brain-Computer Interfaces. |b First edition. |d London : Academic Press, [2019] |z 0128146877 |z 9780128146873 |w (OCoLC)1047781100 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128146873 |z Texto completo |