A Modal Approach to the Space-Time Dynamics of Cognitive Biomarkers (Synthesis Lectures on Biomedical Engineering)

Name: A Modal Approach to the Space-Time Dynamics of Cognitive Biomarkers (Synthesis Lectures on Biomedical Engineering)
SKU: 130831
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Category: NEUROLOGY BOOKS

Description

A Modal Approach to the Space-Time Dynamics of Cognitive Biomarkers (Synthesis Lectures on Biomedical Engineering)

By Tristan D. Griffith, James E. Hubbard Jr., Mark J. Balas
This book develops and details a rigorous, canonical modeling approach for analyzing spatio-temporal brain wave dynamics. The nonlinear, nonstationary behavior of brain wave measures and general uncertainty associated with the brain makes it difficult to apply modern system identification techniques to such systems. While there is a substantial amount of literature on the use of stationary analyses for brain waves, relatively less work has considered real-time estimation and imaging of brain waves from noninvasive measurements. This book addresses the issue of modeling and imaging brain waves and biomarkers generally, treating the nonlinear and nonstationary dynamics in near real-time. Using a modal state-space formulation leads to intuitive, physically significant models which are used for analysis and diagnosis.A Modal Approach to the Space-Time Dynamics of Cognitive Biomarkers provides a much-needed reference for practicing researchers in biomarker modeling leveraging the lens of engineering dynamics.

In this day and age where technology and science have made huge strides in understanding the human body and brain, there is still so much that is unknown. One aspect of human biology that continues to fascinate scientists and researchers is brain waves. Brain waves are electrical impulses that are generated by the brain, which can be measured to study certain aspects of cognition, emotion, and even pathology.

The book titled “A Modal Approach to the Space-Time Dynamics of Cognitive Biomarkers” written by Tristan D. Griffith, James E. Hubbard Jr., and Mark J. Balas is an essential guide for researchers in this field. It presents a canonical modeling approach, which is rigorous and highly effective in analyzing spatio-temporal brain wave dynamics. The nonlinear, nonstationary behavior of brain wave measures, along with general uncertainty associated with the brain, make it difficult to apply modern system identification techniques to these systems.

While there is a considerable amount of literature on stationary analyses for brain waves, relatively less work has been done to consider real-time estimation and imaging of brain waves from noninvasive measurements. This book addresses the issue of modeling and imaging brain waves and biomarkers generally, treating the nonlinear and nonstationary dynamics in near real-time. The modal state-space formulation used in this book leads to intuitive, physically significant models that are used for analysis and diagnosis.

The book is a much-needed reference for practicing researchers in biomarker modeling, leveraging the lens of engineering dynamics. It highlights many important aspects of this field, providing an in-depth understanding of brain wave dynamics, and the intricacies surrounding their interpretation. The authors have done an excellent job of breaking down complex concepts for the reader to understand and have kept the language simple yet informative.

The book is divided into three major parts. The first part introduces the reader to the background, science, and basics of brain wave dynamics. It lays the foundation for the rest of the book, introducing the reader to the fundamentals of modeling biomarkers, and the various challenges that arise in implementing these techniques. The second and third parts dive deeper into the modal approach, providing a step-by-step guide on how to apply these techniques in analyzing biomarkers and brain wave dynamics.

One of the significant strengths of this book is the generous use of examples, illustrations, and case studies. The authors have used these tools to provide clarity and enable the reader to apply the concepts discussed in real-world situations. They also explain how to use these modal state-space models to diagnose and understand brain pathologies and cognitive impairments.

The book is well-written and incredibly informative, making it a must-read for anyone interested in biomarker modeling and brain wave dynamics. The authors’ approach is comprehensive yet accessible, and the use of real-world examples and case studies makes the book engaging and thought-provoking.

In conclusion, “A Modal Approach to the Space-Time Dynamics of Cognitive Biomarkers” is a gem of a book that fills an important gap in the literature on modeling biomarkers and brain wave dynamics. It is highly recommended for anyone working in this field, from beginners to well-established researchers. The book is available in digital format and can be downloaded as an eBook, making it easy to access and read from anywhere in the world. Order your copy now and take the first step toward understanding the complexities of brain wave dynamics!