Main description:

Explains the basis of Brain Computer Interface and how it can be established using different EEG signal characteristics
Covers the detail classification of different types of EEG signals with respect to their physical characteristics
Explains detection and diagnosis of epileptic seizures from EEG data of a subject
Reviews design and development a low cost and robust EEG acquisition system
Provides mathematical analysis of EEG including MATLAB codes for students to experiment with EEG data

Contents:

Chapter 1 Introduction

Chapter 2 Fundamentals of EEG Signals

Chapter 3 Signal Processing for EEGs

Chapter 4 Software and Hardware for EEG for Capturing and Analysis

Chapter 5 Protocol and Process of EEG Data Acquisition

Chapter 6 Methods to Detect Blink from the EEG Signal

Chapter 7 Saccade and Fix Detection from EOG Signals

Chapter 8 Detection of P300 and Its Applications

Chapter 9 Brain Computer Interface Using P300

Chapter 10 Designing an EEG Acquisition System

Chapter 11 A Method to Localize the Pupil of the Eye for Point of Gaze Estimation

Chapter 12 Detection of Epileptic Seizures from EEG Data