Brain Computer Interface
eBook - ePub

Brain Computer Interface

EEG Signal Processing

  1. 214 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Brain Computer Interface

EEG Signal Processing

About this book

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.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Brain Computer Interface by Narayan Panigrahi,Saraju P. Mohanty in PDF and/or ePUB format, as well as other popular books in Computer Science & Human-Computer Interaction. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2022
eBook ISBN
9781000595529
Edition
1
Topic
Computer Science
Subtopic
Human-Computer Interaction
Index
Computer Science

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Authors
  8. Chapter 1 Introduction
  9. Chapter 2 Fundamentals of EEG Signals
  10. Chapter 3 Signal Processing for EEGs
  11. Chapter 4 Software and Hardware for EEG for Capturing and Analysis
  12. Chapter 5 Protocol and Process of EEG Data Acquisition
  13. Chapter 6 Methods to Detect Blink from the EEG Signal
  14. Chapter 7 Saccade and Fix Detection from EOG Signals
  15. Chapter 8 Detection of P300 and Its Applications
  16. Chapter 9 Brain Computer Interface Using P300
  17. Chapter 10 Designing an EEG Acquisition System
  18. Chapter 11 A Method to Localize the Pupil of the Eye for Point of Gaze Estimation
  19. Chapter 12 Detection of Epileptic Seizures from EEG Data
  20. Appendix
  21. Index