Biosignal Processing and Classification Using Computational Learning and Intelligence

Author: Alejandro A. Torres-Garca

Publication Date: September 18, 2021

ISBN: 9780128201251, 9780128204283

Language: English

Publisher: Elsevier Science

Book Overview: This book presents an approach for biosignal processing and classification using computational learning and intelligence. It highlights 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: Introduction to Biosignals

This part provides an introduction to biosignals, explaining the concept and its importance in various fields.

Part Two: Techniques for Biosignal Processing

This section describes the relevant techniques for biosignal processing, feature extraction, and feature selection/dimensionality reduction. It covers various methods used in signal processing, including filtering, artifact removal, and feature extraction techniques such as Fourier transform, wavelet transform, and MFCC.

Part Three: Fundamentals of Computational Learning

This part presents the fundamentals of computational learning (machine learning), including supervised learning, common classifiers, feature selection, dimensionality reduction, and other relevant topics.

Part Four: Computational Intelligence Techniques

This section covers the main techniques of computational intelligence, including fuzzy logic, neural networks, Deep Learning, bio-inspired algorithms, and Hybrid Systems.

Part Five: Applications of Computational Learning to Biosignals

This part focuses on the newest applications and reviews in which these techniques have been successfully applied to the biosignals domain. It includes topics such as EEG-based Brain-Computer Interfaces (BCI) focused on P300 and Imagined Speech, emotion recognition from voice and video, leukemia recognition, infant cry recognition, EEG-based ADHD identification, and more.

Target Audience: Engineers, computer scientists, researchers, and clinicians interested in understanding the technology and applications of computational learning to biosignal processing.

Key Features: This book provides comprehensive coverage of the fundamentals of signal processing, including sensing the heart, sending the brain, sensing human acoustic, and sensing other organs. It also covers the latest techniques in machine learning and computational intelligence, making it a valuable resource for professionals and researchers in the field.