This book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing plays a vital role in applications ranging from medical electronics to data mining of electronic medical records. Topics covered include statistical modeling of electroencephalograph data for predicting or detecting seizure, stroke, or Parkinson's; machine learning methods and their application to biomedical problems, which is often poorly understood, even within the scientific community; signal analysis; medical imaging; and machine learning, data mining, and classification. The book features tutorials and examples of successful applications that will appeal to a wide range of professionals and researchers interested in applications of signal processing, medicine, and biology.

The authors of this book argue that there is a great divide between species that makes extrapolation of biochemical research from one group to another utterly invalid. In their previous book, "Sacred Cows and Golden Geese: The Human Cost of Experiments on Animals", the Greeks showed how an amorphous but insidious network of drug manufacturers, researchers dependent on government grants to earn their living, even cage-manufacurers - among others benefiting from "white-coat welfare" - have perpetuated animal research in spite of its total unpredictability when applied to humans. (Cancer in mice, for example, has long been cured. Chimps live long and relatively healthy lives with AIDS. There is no animal form of Alzheimer's disease.) In doing so, the Greeks aimed to blow the lid off the "specious science" we have been culturally conditioned to accept. Taking these revelations one step further, this book uses accessible language to provide the scientific underpinning for the Greeks' philosophy of "do no harm to any animal, human or not," by examining paediatrics, diseases of the brain, new surgical techniques, in vitro research, the Human Genome and Proteome Projects, an array of scien

This volume examines recent developments in the use of intelligent materials and systems for drug delivery. Controlled release technology is moving from being a simple carrier of active agents to becoming a powerful and flexible method that permits subtle modulation of the delivery profile based on the needs of the biological host. The chapters collected here cover recent advances in materials with responsive properties, novel concepts in controlled release technology, new applications, and microanalytical techniques for rapid and accurate measurements of small samples.

This book focuses on broadly defined areas of chemical information science- with special emphasis on chemical informatics- and computer-aided molecular design. The computational and cheminformatics methods discussed, and their application to drug discovery, are essential for sustaining a viable drug development pipeline. It is increasingly challenging to identify new chemical entities and the amount of money and time invested in research to develop a new drug has greatly increased over the past 50 years. The average time to take a drug from clinical testing to approval is currently 7.2 years. Therefore, the need to develop predictive computational techniques to drive research more efficiently to identify compounds and molecules, which have the greatest likelihood of being developed into successful drugs for a target, is of great significance. New methods such as high throughput screening (HTS) and techniques for the computational analysis of hits have contributed to improvements in drug discovery efficiency. The SARMs developed by Jurgen and colleagues have enabled display of SAR data in a more transparent scaffold/functional SAR table. There are many tools and databases available for use in applied drug discovery techniques based on polypharmacology. The cheminformatics approaches and methodologies presented in this volume and at the Skolnik Award Symposium will pave the way for improved efficiency in drug discovery. The lectures and the chapters also reflect the various aspects of scientific enquiry and research interests of the 2015 Herman Skolnik award recipient.

The Third Edition of this reliable reference could easily serve as a single resource for the clinical neurophysiologist performing evoked potentials in clinical practice. Coverage includes new clinical applications for evoked potential (EP) tests, advanced test variations such as motor and cognitive EPs, and new techniques that improve the efficiency of testing. Step-by-step instruction is provided on methodology and interpretation for each major test -- pattern-shift visual, brainstem auditory, and short-latency somatosensory. New to this edition is a section on evoked potential monitoring in the operating room. The renowned authors describe new techniques for eliminating artifact and improving the averaging process; and explain important techniques such as pattern electroretinography and registration of peripheral nerve action potentials. Compatibility: BlackBerry(R) OS 4.1 or Higher / iPhone/iPod Touch 2.0 or Higher /Palm OS 3.5 or higher / Palm Pre Classic / Symbian S60, 3rd edition (Nokia) / Windows Mobile(TM) Pocket PC (all versions) / Windows Mobile Smartphone / Windows 98SE/2000/ME/XP/Vista/Tablet PC

This book is about pleasure. It's also about pain. Most important, it's about how to find the delicate balance between the two, and why now more than ever finding balance is essential.

We're living in a time of unprecedented access to high-reward, high-dopamine stimuli: drugs, food, news, gambling, shopping, gaming, texting, sexting, Facebooking, Instagramming, YouTubing, tweeting... The increased numbers, variety, and potency is staggering. The smartphone is the modern-day hypodermic needle, delivering digital dopamine 24/7 for a wired generation. As such we've all become vulnerable to compulsive overconsumption.

In Dopamine Nation, Dr. Anna Lembke, psychiatrist and author, explores the exciting new scientific discoveries that explain why the relentless pursuit of pleasure leads to pain...and what to do about it. Condensing complex neuroscience into easy-to-understand metaphors, Lembke illustrates how finding contentment and connectedness means keeping dopamine in check. The lived experiences of her patients are the gripping fabric of her narrative. Their riveting stories of suffering and redemption give us all hope for managing our consumption and transforming our lives. In essence, Dopamine Nation shows that the secret to finding balance is combining the science of desire with the wisdom of recovery.

Elgar Advanced Introductions are stimulating and thoughtful introductions to major fields in the social sciences, business and law, expertly written by the world's leading scholars. Designed to be accessible yet rigorous, they offer concise and lucid surveys of the substantive and policy issues associated with discrete subject areas. Providing a comprehensive overview of the current and future uses of Artificial Intelligence (AI) in healthcare, this Advanced Introduction discusses the issues surrounding the implementation, governance, impacts and risks of utilising AI in health organizations Key Features: Advises healthcare executives on how to effectively leverage AI to advance their strategies and plans and support digital transformation Discusses AI governance, change management, workforce management and the organization of AI experimentation and implementation Analyzes AI technologies in healthcare and their impacts on patient care, medical devices, pharmaceuticals, population health, and healthcare operations Provides risk mitigation approaches to address potential AI algorithm problems, liability and regulation Essential reading for policymakers, clinical executives and consultants in healthcare, this Advanced Introduction explores how to successfully integrate AI into healthcare organizations and will also prove invaluable to students and scholars interested in technological innovations in healthcare.

Consumption was the deadliest, most common disease that mankind has faced up till now. Three billion people in Europe and North America died between the fourteenth and the end of the eighteenth century. It was a death sentence with no known cause which led to the development of unusual empirical therapies. Lucky Consumptive patients reached a Sanatorium. Sanatoria were developed to house sick patients in an environment where they stood the best chance of recovery from their illness. There was no organised healthcare system and funding for a Sanatorium depended upon provision provided by wealthy individuals, or societies. Charles Dunnell Rudd was a Cape Merchant who had made a fortune in South Africa successfully prospecting for Gold and Diamonds. His mother had died from Consumption and he wished to invest some of his money in building a Sanatorium. It had been shown that Consumptive patients survived longer if they took vigorous exercise, slept out of doors, and were nursed on higher land near to forests. Rudd anonymously purchased raised land at Northwood for this purpose. Helena (later Princess Christian) was Queen Victoria's third daughter, and had a marked social awareness, arranging charitable meals for the less fortunate. She was very hard working and became the Principal Patron for Mount Vernon Hospital, donating money and attending annual fundraising Festival Dinners. Contemporary photographs from this period show female patients walking around the grounds and occupying designated rest shelters. The male patients had a more vigorous lifestyle, working in the gardens and sleeping in their beds out of doors. Those surviving often acquired new skills which might enhance their future employment prospects. These measures greatly improved the prognosis for consumptive patients. After Koch discovered the Tubercle Bacillus effective curative anti-tuberculous therapy evolved.

Nowadays, Virtual Reality (VR) is commonly used in various applications including entertainment, education and training, manufacturing, medical and rehabilitation. VR not only provides immersive stereoscopic visualization of virtual environments and the visualization effect and computer graphics are critical to enhancing the engagement of participants and thus increases education and training effectiveness. Nevertheless, constructing realistic 3D models and scenarios for a specific application of VR simulation is not an easy task. There are many different tools for 3D modelling such as ZBrush, Blender, SketchUp, AutoCAD, SolidWorks, 3Ds Max, Maya, Rhino3D, CATIA, and more. Many of the modelling tools are very professional and used for manufacturing and product design application. The advanced features and functions may not be applicable to different levels of users and various specialization. This book explores the application of virtual reality in healthcare settings. This includes 3D modelling techniques, texturing, assigning material, and more. It allows for not only modelling and rendering techniques, but modelling, dressing, and animation in healthcare applications. The potential market of readers, including those from the engineering disciplines such as computer sciences/ computer engineering, product designers, and more. Other potential readers are those studying nursing and medicine, healthcare workers, and anyone interested in the development of VR applications for industry use. In addition, this is suitable for readers from other industries that may need to apply virtual reality in their field.

The Pacific Symposium on Biocomputing (PSB) 2023 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2023 will be held on January 3-7, 2023 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2023 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's 'hot topics.' In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.

Digital technologies are currently dramatically changing healthcare. Cloud healthcare is an increasingly trending topic in the field, converging skills from computer and health science. This new strategy fosters the management of health data at a large scale and makes it easier for healthcare organizations to improve patient experience and health team productivity while helping the support, security, compliance, and interoperability of health data. Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare is a reference in the ongoing digital transformation of the healthcare sector. It presents a comprehensive state-of-the-art approach to cloud internet of things health technologies and practices. It provides insights over strategies, methodologies, techniques, tools, and services based on emerging cloud digital health solutions to overcome digital health challenges. Covering topics such as auxiliary systems, the internet of medical things, and natural language processing, this premier reference source is an essential resource for medical professionals, hospital administrators, medical students, medical professors, libraries, researchers, and academicians.

Elgar Advanced Introductions are stimulating and thoughtful introductions to major fields in the social sciences, business and law, expertly written by the world's leading scholars. Designed to be accessible yet rigorous, they offer concise and lucid surveys of the substantive and policy issues associated with discrete subject areas. Providing a comprehensive overview of the current and future uses of Artificial Intelligence (AI) in healthcare, this Advanced Introduction discusses the issues surrounding the implementation, governance, impacts and risks of utilising AI in health organizations Key Features: Advises healthcare executives on how to effectively leverage AI to advance their strategies and plans and support digital transformation Discusses AI governance, change management, workforce management and the organization of AI experimentation and implementation Analyzes AI technologies in healthcare and their impacts on patient care, medical devices, pharmaceuticals, population health, and healthcare operations Provides risk mitigation approaches to address potential AI algorithm problems, liability and regulation Essential reading for policymakers, clinical executives and consultants in healthcare, this Advanced Introduction explores how to successfully integrate AI into healthcare organizations and will also prove invaluable to students and scholars interested in technological innovations in healthcare.