Springer Quantitative EEG Practical Guide

The primary aim of this book is to provide clinicians with the essential knowledge and theoretical foundation needed to perform digital EEG and integrate quantitative EEG (qEEG) into routine clinical practice. Readers will gain a clear understanding of the principles behind qEEG and learn how to apply some of the most widely used numerical tools for EEG analysis. This work spans a broad spectrum—from the theoretical underpinnings of EEG biosignals to the practical application of numerical methods in real clinical cases. It is structured as a progressive journey: beginning with the origins of EEG signals, advancing through the mathematical foundations of analytical tools, and culminating in the numerical analysis of actual clinical scenarios. In this way, clinicians, including residents, will become familiar with these powerful techniques, grasp their relevance to human pathology, and acquire the skills to implement their own analytical toolbox. Over the past few decades, the field of qEEG has expanded significantly, with numerous mathematical methods being developed. However, these tools are still rarely used in everyday clinical settings. This gap is often due to a lack of awareness and confidence among clinicians, as well as the perceived complexity of the methods. Drawing from personal experience, the author emphasizes that these tools are highly effective in routine practice and aims to share this insight with the broader neurophysiological community and allied professionals. Despite its rigorous approach, the book is rich in clinical examples and EEG recording procedures, making it both practical and accessible.