Biosignal Processing and Classification Using Computational Learning and Intelligence Principles, Algorithms, and Applications
Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms and Applications posits an approach for biosignal processing and classification using computational learning and intelligence, highlighting that the term biosignal refers to all kinds of sig...
Saved in:
Main Authors | , , , |
---|---|
Format | eBook |
Language | English |
Published |
Chantilly
Elsevier Science & Technology
2021
Academic Press |
Edition | 1 |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms and Applications posits an approach for biosignal processing and classification using computational learning and intelligence, highlighting that the term biosignal refers to all kinds of signals that can be continuously measured and monitored in living beings. The book is composed of five relevant parts. Part One is an introduction to biosignals and Part Two describes the relevant techniques for biosignal processing, feature extraction and feature selection/dimensionality reduction. Part Three presents the fundamentals of computational learning (machine learning). Then, the main techniques of computational intelligence are described in Part Four. The authors focus primarily on the explanation of the most used methods in the last part of this book, which is the most extensive portion of the book. This part consists of a recapitulation of the newest applications and reviews in which these techniques have been successfully applied to the biosignals' domain, including EEG-based Brain-Computer Interfaces (BCI) focused on P300 and Imagined Speech, emotion recognition from voice and video, leukemia recognition, infant cry recognition, EEGbased ADHD identification among others. |
---|---|
ISBN: | 0128201258 9780128201251 |
DOI: | 10.1016/B978-0-12-820125-1.00002-6 |