Preface

Advances in biosignal processing have made it one of the most important interpretations and therapeutic tools in medicine. The use of advanced instruments and processing techniques in modern signal processing has improved the accuracy and reliability of medical diagnoses. This book presents a wide range of new methods that play an important role in the state-of-the-art improvement of biosignal processing.

Chapters discuss biosignal theory, biosignal processing algorithms and applications, and biosignal sensors. They examine such topics as glucose detection, tissue engineering, fuzzy electroencephalogram analysis, deep learning electrocardiogram analysis, protein bioelectric signal, soft tissue optical tomography, heart rate variability, nano biosensors, ultrasonic bone fractures detection, source localization and enzymic biosensors, and more. The book also gives an understanding of how to apply artificial intelligence and machine learning to biosignal techniques. It provides a forum for researchers, engineers, and graduate students who are seeking advanced approaches to biomedical signal analysis, algorithms, and applications. This book is a useful resource for advanced research scholars in the field of brain signal processing and biomedical engineering.

> **Dr. Vahid Asadpour** Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, USA

#### **Selcan Karakuş**

Faculty of Engineering, Department of Chemistry, Istanbul University-Cerrahpasa, Istanbul, Turkey
