Biosensing technology is rapidly flourishing in recent years due to the advancement of bio-MEMS/NEMS. However, the booming development of biosensors has not been very well addressed to the unmet clinical needs. Advances in Biosensing Technology for Medical Diagnosis initiates a headway into the realm of cutting-edge diagnostic tools which are expected to become routine clinical practice. This book aims to broaden the readers’ horizon and guide them in tailoring different biosensing techniques for specific diagnostic procedures. Key Features: - 12 chapters cover several aspects of biosensing technologies including working principles and clinical validations - highlights the state-of-the-art biosensing technology developed in all fields - provides information about specific applications of novel biosensors used in clinical diagnosis, - provides step-by-step guidance of microfabrication for biosensors - focuses on bridging the gap between the scientific and the clinical communities - provides information about the diagnostic applications of biosensors for different diseases (including infectious diseases and neurodegenerative diseases). - covers Information about unconventional nano/microfluidic biosensor systems - features contributions from renowned experts in the field of biomedical engineering Advances in Biosensing Technology for Medical Diagnosis serves as a reference for healthcare providers and biomedical engineers who are interesting in biosensing techniques in medicine. The information provided in this reference will also benefit healthcare policymakers who are interested in new technologies that can impact the delivery of diagnostic services in healthcare systems.

Titanium and its alloys have been widely used as biomedical implant materials due to their low density, good mechanical properties, superior corrosion resistance and biocompatibility when compared with other metallic biomaterials such as Co–Cr alloys and stainless steels. Recently, β-type titanium alloys have been increasingly considered as excellent implant materials because of the remarkable combination of high strength-to-weight ratio, good fatigue resistance, relatively low Young's modulus, good biocompatibility and high corrosion resistance relative to conventional titanium biomaterials. This book covers recent information about biomedical titanium alloy development and 3D printing. Chapters describe the processing, microstructure, mechanical properties and corrosion properties in detail. Information about the surface modification of titanium alloys for biomedical applications, and manufacturing of titanium alloys by new technologies (such as selective laser melting and electron beam melting), is also presented. Readers will learn about the various types of biomedical titanium alloys, their advantages and disadvantages, their fabrication methods and medical applications. This book is a useful handbook for biomedical engineers, metallurgists and biotechnicians seeking information about titanium-based alloys for biomaterials research and development.

Biomedical signal processing is a rapidly expanding field with a wide range of applications, from the construction of artificial limbs and aids for disabilities to the development of sophisticated medical imaging systems. Acquisition and processing of biomedical signals has become more important to the physician. The main reasons for this development are the growing complexity of the biomedical examinations, the increasing necessity of comprehensive documentation and the need for automation in order to reduce costs. Analysis of signals accomplished by humans has many limitations, therefore, computer analysis of these signals could provide objective strength to diagnoses; however, the development of an algorithm for biomedical signal analysis is a significant challenge. This ebook will cover biomedical signal processing as used in both therapeutic and diagnostic instrumentation. A number of current research projects are also outlined with emphasis on intelligent medical image diagnosis. This book should be a valuable reference for researchers, professionals and technical experts working in the fields of Biomedical Signal processing (BSP) including applications, filtering and registration techniques, reconstruction and normalization algorithms, technical experts requiring an understanding of processing and analyzing biomedical signals, as well as postgraduate students working on image processing and novel signal processing paradigms applied to BSP.