Disruptive Developments In Biomedical Applications

This book covers advancements and future challenges in biomedical application development using disruptive technologies like artificial intelligence (AI), the Internet of Things (IoT), and signal processing. The book is divided into four main sections, namely, medical image processing using AI; IoT and biomedical devices; biomedical signal processing; and electronic health records, including advances in biomedical systems. It includes different case studies of biomedical applications using different AI algorithms related to diabetes, skin cancer, breast cancer, cervical cancer, and osteoarthritis. Features: Covers different technologies like AI, IoT, and signal processing in the context of biomedical applications. Reviews medical image analysis, disease detection, and prediction. Comprehends the advantage of recent technologies for medical record keeping through electronic health records (EHRs). Presents state-of-the-art research in the field of biomedical engineering using various physiological signals. Explores different bio sensors used in healthcare applications using IOT. This book is aimed at graduate students and researchers in AI, medical imaging, biomedical engineering, and IoT.

The book highlights recent developments in the field of biomedical systems covering a wide range of technological aspects, methods, systems and instrumentation techniques for diagnosis, monitoring, treatment, and assistance. Biomedical systems are becoming increasingly important in medicine and in special areas of application such as supporting people with disabilities and under pandemic conditions. They provide a solid basis for supporting people and improving their health care. As such, the book offers a key reference guide about novel medical systems for students, engineers, designers, and technicians.

This book explores the advancements and future challenges in biomedical application developments using breakthrough technologies like Artificial Intelligence (AI), Internet of Things (IoT), and Signal Processing. It will also contribute to biosensors and secure systems,and related research. Applied Artificial Intelligence: A Biomedical Perspective begins by detailing recent trends and challenges of applied artificial intelligence in biomedical systems. Part I of the book presents the technological background of the book in terms of applied artificial intelligence in the biomedical domain. Part II demonstrates the recent advancements in automated medical image analysis that have opened ample research opportunities in the applications of deep learning to different diseases. Part III focuses on the use of cyberphysical systems that facilitates computing anywhere by using medical IoT and biosensors and the numerous applications of this technology in the healthcare domain. Part IV describes the different signal processing applications in the healthcare domain. It also includes the prediction of some human diseases based on the inputs in signal format. Part V highlights the scope and applications of biosensors and security aspects of biomedical images. The book will be beneficial to the researchers, industry persons, faculty, and students working in biomedical applications of computer science and electronics engineering. It will also be a useful resource for teaching courses like AI/ML, medical IoT, signal processing, biomedical engineering, and medical image analysis.

An integrated interdisciplinary approach to address complex computer aided diagnosis problems and limitations. Elucidates a rich summary of the state-of-the-art tools and techniques related to automated detection and diagnosis of life threatening diseases including pandemics. Machine learning and deep learning methodologies on evolving accurate and precise early detection and medical diagnosis systems. Information presented in an accessible way for students, researchers and medical practitioners.

This book coherently presents the advances in technological principles, processes, and methods of Additive Manufacturing (AM), Augmented reality (AR), and Internet of things (IoT) in biomedical technology. It offers an overview of these high-impact technologies in terms of materials, processes, and in-situ monitoring of fabricating biomedical devices, implants, and prosthetics. Furthermore, the book also aimed to cover pedagogical applications, including the design and development of high-fidelity anatomical and hybrid physiological human models, for medical and design students and clinicians for learning, understanding, and gaining insights into the structures and functions of human organs and pathology. In turn, the book also discusses the applications of artificial intelligence in the 3-D printing of pharmaceuticals. This book is a useful resource for manufacturers, scientists, engineers, and young research scholars understand disruptive technology's real potential in biomedical applications.

Biomedical Engineering is a highly interdisciplinary and well established discipline spanning across engineering, medicine and biology. A single definition of Biomedical Engineering is hardly unanimously accepted but it is often easier to identify what activities are included in it. This volume collects works on recent advances in Biomedical Engineering and provides a bird-view on a very broad field, ranging from purely theoretical frameworks to clinical applications and from diagnosis to treatment.

In all different areas in biomedical engineering, the ultimate objectives in research and education are to improve the quality life, reduce the impact of disease on the everyday life of individuals, and provide an appropriate infrastructure to promote and enhance the interaction of biomedical engineering researchers. This book is prepared in two volumes to introduce recent advances in different areas of biomedical engineering such as biomaterials, cellular engineering, biomedical devices, nanotechnology, and biomechanics. It is hoped that both of the volumes will bring more awareness about the biomedical engineering field and help in completing or establishing new research areas in biomedical engineering.

Bioelectronics and Medical Devices: Applications and Technology provides an abundance of information on new applications being used today for biomedical applications. The book covers a wide range of concepts and technologies used in biomedical applications, discussing such modern technological methods as the Internet of Things, e-pills, biomedical sensors, support vector machines, wireless devices, image and signal processing in e-health, and machine learning. It also discusses the different types of antennas, including antennas using RF energy harvesting for biomedical applications. This book contains three chapters on the various kinds of antennas used for biomedical applications, which make this book unique as this information is not generally discussed in the field of biomedical engineering. It also includes a discussion on software implementation for the devices used in biomedical applications, of course. Key features: Provides in-depth information on the major topics in real-life biomedical applications. Considers both theoretical as well as experimental approaches Topics include: The Internet of Things for health care and monitoring Antennas for biomedical applications using RF energy harvesting Biomedical sensors Software fault proneness with support vector machine biomedical applications Image and signal processing in e-health applications E-pill for biomedical applications Machine learning implementation in bioinformatics This book will be valuable for undergraduate, postgraduate, and PhD students working in the biomedical application field. It will also be beneficial for scientists and medical professionals who are interested in the latest biomedical technologies being used today