Preface

Computers have significantly changed everyone's daily lives ever since the invention of the first computer. With the rapid development of medical care and biomedical technologies, the requirements for computational methods and programs in biomedical engineering and biotechnology are increasing. Traditional biomedical and clinical data collection and analysis methods are being replaced by computer programs that can predict clinical decisions. As a result, more cost-effective and powerful computing methods and programs have been replaced by expensive equipment, tests, and examinations.

There is no doubt that a large number of biomedical and clinical data, such as signals and images, cannot be extracted by human eyes. The rapid development of computer programs has provided much help in solving such problems. Computer programs can truly simulate abstract models of specific or equivalent clinical systems. Computer models have become a useful part of mathematical modeling of many natural systems, including psychology, physiology, biology, biomedicine, and biotechnology, as well as all branches of bioengineering, to better understand the work of the systems mentioned above.

With the fast development of biomedical engineering, electronics, and computer technologies, computational methods and programs have attracted much interest in biomedical signal and imaging processing over the past two decades. Practical computational approaches and devices need to be developed to analyze complex data and to provide clinicians and healthcare providers with a prominent recommendation and prediction. The applications of computer methods and programs in biological signals and imaging have attracted the attention of researchers all over the world. Many computational methods and devices have been proposed, tested, implemented, and analyzed in biotechnological and biomedical engineering applications. However, the application of computer methods and programs has both advantages and advantages. Obviously, there are more advantages than limitations, and it is certain that computer methods and programs will dominate all fields of biomedicine and bioengineering.

With the design of more advanced computational methods and programs, it is expected that the methods and equipment for processing the data generated by these systems need to be improved accordingly. These new methods not only help to extract new knowledge, which is difficult to obtain from existing traditional interpretations, but also lay a foundation for providing fast prediction information and helping clinicians make better clinical decisions. As shown in the chapters, these changes need to address both the size and complexity of the generated data.

This book aims to provide a brief update to the current status of and advances in the computational methods and programs used for the development of the theory and practice of biomedical signal and image communication. The book comprises a collection of invited manuscripts, written in a convenient way and of manageable length. These timely collections will provide an invaluable resource for initial inquiries about technologies and will encapsulate the latest developments and

applications with reference sources for further detailed information. The methods described in this book cover a wide range of computational algorithms that are widely used in bioengineering and biomedicine. The content and format are specifically designed to stimulate the further development and application of these technologies by reaching out to nonspecialists across a broad audience.

I would like to express my gratitude to the publishers (IntechOpen) for their help with this book and the authors of accepted manuscripts for their work and patience.

> **Lulu Wang Ph.D.** Hefei University of Technology, China

Shenzhen Technology of University, China
