Full Description
Brain Computer Interface: EEG Signal Processing discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. This book provides a basic introduction to EEG and a classification of different components present in EEG. It also helps the reader to understand the scope of processing EEG signals and their associated applications. Further, it covers specific aspects such as epilepsy detection; exploitation of P300 for various applications; design of an EEG acquisition system; and detection of saccade, fix, and blink from EEG and EOG data.
Key Features:
Explains the basis of brain computer interface and how it can be established using different EEG signal characteristics
Covers the detailed classification of different types of EEG signals with respect to their physical characteristics
Explains detection and diagnosis of epileptic seizures from the EEG data of a subject
Reviews the design and development of a low-cost and robust EEG acquisition system
Provides mathematical analysis of EEGs, including MATLAB® codes for students to experiment with EEG data
This book is aimed at graduate students and researchers in biomedical, electrical, electronics, communication engineering, healthcare, and cyber physical systems.
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
