Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

Author: Janmenjoy Nayak

Overview

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare is a comprehensive guide for researchers and professionals in the field of biomedical engineering and healthcare. It covers advanced computational intelligence techniques, including deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems. These techniques are applied to various biomedical and healthcare applications, such as oncology, genomics, genetic data, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis.

Key Applications

The handbook focuses on several key applications in biomedical engineering, including:

• Biosensors: The book discusses various biosensor technologies and their applications in healthcare.
• Enzyme Immobilization Techniques: It covers different methods for immobilizing enzymes and their use in biomedical applications.
• Immuno-assays: The handbook explains the principles and applications of immuno-assays in healthcare diagnostics.
• Nanomaterials for Biosensors: It explores the use of nanomaterials in the development of biosensors and other biomedical devices.

Gene-Based Solutions and Computational Intelligence

The book also delves into gene-based solutions and applications using computational intelligence techniques. It discusses the impact of nonlinear/unstructured data on experimental analysis and provides insights into the latest trends and advancements in the field.

Learning Resources

Throughout the handbook, readers will find links to additional learning resources, including websites, videos, articles, and other online content. These resources are designed to support and expand the primary learning objectives, providing a comprehensive understanding of computational intelligence in biomedical engineering and healthcare.