Understanding Biosignal Processing and Classification

Alejandro A. Torres-Garca, a renowned author, has introduced a comprehensive approach to biosignal processing and classification using computational learning and intelligence in his book. The term biosignal refers to all kinds of signals that can be continuously measured and monitored in living beings. This book is divided into five relevant parts, providing a detailed overview of the principles, algorithms, and applications of biosignal processing and classification.

Part One: Introduction to Biosignals

The first part of the book serves as an introduction to biosignals, providing readers with a solid foundation of knowledge on the subject. It covers the basics of biosignals, their importance, and how they can be used in various applications.

Part Two: Techniques for Biosignal Processing

The second part delves into the techniques for biosignal processing, feature extraction, and feature selection/dimensionality reduction. This section is crucial for understanding how to process and analyze biosignals effectively.

Part Three: Fundamentals of Computational Learning

Part three focuses on the fundamentals of computational learning, also known as machine learning. This section provides an in-depth look at the principles and algorithms of machine learning, which are essential for classifying and processing biosignals.

Part Four: Computational Intelligence Techniques

The fourth part of the book describes the main techniques of computational intelligence. These techniques are vital for developing advanced systems that can learn from data and make decisions based on that learning.

Part Five: Applications of Computational Learning

The final part of the book is the most extensive and focuses on the newest applications and reviews in which computational learning techniques have been successfully applied to the biosignals domain. This includes:

• 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

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 biosignal pre-processing techniques such as filtering, artifact removal, and feature extraction techniques like Fourier transform, wavelet transform, and MFCC.

Alejandro A. Torres-Garca‘s book is an essential resource for engineers, computer scientists, researchers, and clinicians looking to understand the technology and applications of computational learning to biosignal processing. It provides a detailed and insightful look into the latest techniques in machine learning and computational intelligence, making it a valuable addition to any library.