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(as of Oct 12, 2025 06:20:09 UTC - Details)

BCI Using MATLAB & Python: A Practical Manual for Students and Researchers
Unlock the power of the human mind to control machines.
This comprehensive textbook offers a hands-on guide to designing and implementing Brain–Computer Interface (BCI) systems using real EEG signals, MATLAB simulations, and Python-based machine learning models. Tailored for B.Tech, M.Tech students, and early-stage researchers, the book bridges the gap between theoretical neuroscience and practical neural signal processing.
Learn how to:
Acquire and preprocess EEG signals
Remove artifacts using Iterative Filtering (FCIF)
Extract features using Filter Bank Common Spatial Pattern (FBCSP)
Classify motor imagery tasks using SVM and Deep Neural Networks (DNN)
Develop real-time BCI projects for cursor control and smart home integration
With step-by-step coding examples, project modules, and lab exercises, this book enables you to build working BCI prototypes using open-source tools. Whether you're exploring assistive technologies, neurorehabilitation, or cognitive computing, this guide is your essential companion.
💡 Key Features:
Real-time EEG signal processing workflows
MATLAB & Python code for BCI systems
Focus on Motor Imagery (MI) classification
Practical projects for cursor movement & smart IoT
Viva questions and exercises for lab use
About the Author:
Dr. Srinath Akuthota is a Senior Lecturer in ECE with over 12 years of academic and research experience in Brain–Computer Interfaces, EEG signal processing, and machine learning. He has published widely in SCIE/Scopus-indexed journals and mentors postgraduate and Ph.D. students in emerging technologies.
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ASIN : B0FBRHND5W
Accessibility : Learn more
Publication date : June 2, 2025
Edition : 1st
Language : English
File size : 1.1 MB
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 69 pages
Page Flip : Enabled
Reading age : 1 - 18 years
Best Sellers Rank: #3,389,436 in Kindle Store (See Top 100 in Kindle Store) #663 in Robotic Engineering #1,005 in Robotics & Automation (Kindle Store) #2,364 in Robotics (Books)
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(as of Oct 12, 2025 06:20:09 UTC - Details)

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