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Muestra
Ficha Técnica
Descripción

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.

  • Details techniques for multiple types of analysis (including ERP, scalp map, sub-band power and independent component) to acquire data from deliberate eye-blinking
  • Demonstrates how to use EEGs to develop more intuitive BCIs in real-time scenarios
  • Includes algorithms and scenarios that interface with MATLAB software for interactive use

1. Chapter 1: Introduction - p. ix 2. Chapter 2: EEG-Based Brain-Computer Interfacing (BCI) - p. 19 3. Chapter 3: Real-Time EEG Acquisition - p. 71 4. Chapter 4: Cognitive Analysis: Time Domain - p. 104 5. Chapter 5: Cognitive Analysis: Frequency Domain - p. 138 6. Chapter 6: EEG Based BCI—Control Applications - p. 166 7. Chapter 7: Conclusion - p. 193 8. Index - p. 205

Descripcion
Descripción

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.

  • Details techniques for multiple types of analysis (including ERP, scalp map, sub-band power and independent component) to acquire data from deliberate eye-blinking
  • Demonstrates how to use EEGs to develop more intuitive BCIs in real-time scenarios
  • Includes algorithms and scenarios that interface with MATLAB software for interactive use

1. Chapter 1: Introduction - p. ix 2. Chapter 2: EEG-Based Brain-Computer Interfacing (BCI) - p. 19 3. Chapter 3: Real-Time EEG Acquisition - p. 71 4. Chapter 4: Cognitive Analysis: Time Domain - p. 104 5. Chapter 5: Cognitive Analysis: Frequency Domain - p. 138 6. Chapter 6: EEG Based BCI—Control Applications - p. 166 7. Chapter 7: Conclusion - p. 193 8. Index - p. 205

Indice
Autores
Muestra
Ficha Técnica