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Wireless Computing in Medicine From Nano to Cloud with Ethical and Legal Implications

  • Erscheinungsdatum: 09.06.2016
  • Verlag: Wiley
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Wireless Computing in Medicine

Provides a comprehensive overview of wireless computing in medicine, with technological, medical, and legal advances This book brings together the latest work of leading scientists in the disciplines of Computing, Medicine, and Law, in the field of Wireless Health. The book is organized into three main sections. The first section discusses the use of distributed computing in medicine. It concentrates on methods for treating chronic diseases and cognitive disabilities like Alzheimer's, Autism, etc. It also discusses how to improve portability and accuracy of monitoring instruments and reduce the redundancy of data. It emphasizes the privacy and security of using such devices. The role of mobile sensing, wireless power and Markov decision process in distributed computing is also examined. The second section covers nanomedicine and discusses how the drug delivery strategies for chronic diseases can be efficiently improved by Nanotechnology enabled materials and devices such as MENs and Nanorobots. The authors will also explain how to use DNA computation in medicine, model brain disorders and detect bio-markers using nanotechnology. The third section will focus on the legal and privacy issues, and how to implement these technologies in a way that is a safe and ethical. Defines the technologies of distributed wireless health, from software that runs cloud computing data centers, to the technologies that allow new sensors to work Explains the applications of nanotechnologies to prevent, diagnose and cure disease Includes case studies on how the technologies covered in the book are being implemented in the medical field, through both the creation of new medical applications and their integration into current systems Discusses pervasive computing's organizational benefits to hospitals and health care organizations, and their ethical and legal challenges Wireless Computing in Medicine: From Nano to Cloud with Its Ethical and Legal Implications is written as a reference for computer engineers working in wireless computing, as well as medical and legal professionals. The book will also serve students in the fields of advanced computing, nanomedicine, health informatics, and technology law.

Produktinformationen

    Format: ePUB
    Kopierschutz: AdobeDRM
    Seitenzahl: 664
    Erscheinungsdatum: 09.06.2016
    Sprache: Englisch
    ISBN: 9781118993613
    Verlag: Wiley
    Größe: 23635 kBytes
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Wireless Computing in Medicine

PREFACE

I recently celebrated my 50th birthday 26 productive years after I received my Ph.D. On this important milestone, I reflected back on my life, as I could not help but find myself in total agreement with what both Aristotle and Einstein said: the more one learns or knows, the more one realizes how much he/she does not know. I always wanted to learn more, so over the years I have expanded my parallel processing expertise from heterogeneous computing (topic of my first book) to bio-inspired and nanoscale integrated computing (topic of my second book). Expanding the application of both of these technologies further to medicine with an emphasis on their legal and ethical aspects is the main aim of this third book. This book is a product of the progression of my research, from undergraduate study until now.

In the early part of my research career and as a research student at the University of Southern California (USC), I concentrated on the design of efficient very-large-scale integration (VLSI) architectures and parallel algorithms, especially for image and signal processing. Such research focused on my development of fast algorithms for solving geometric problems on the Mesh-of-Trees architecture. These techniques have been applied to several other architectures, including bus-based architectures and later on architectures such as the systolic reconfigurable mesh. Thirty years since their inception, these results are still showing their utility in the design of graphics processing unit (GPU) architectures.

Later, as part of my Ph.D., I focused my attention on applying my Mesh-of-Trees results to the area of optical computing. I produced the Optical Model of Computation (OMC) model, through which I was able to show the computational limits and the space-time tradeoffs for replacing electrical wires with free-space optical beams in VLSI chips. Based on the model, I designed several generic electrooptical architectures, including the electrooptical crossbar design that includes a switching speed in the order of nanoseconds. This design was later extended to an architecture called "optical reconfigurable mesh" (ORM). Algorithms designed on ORM have a very fast running time because ORM comprises a reconfigurable mesh in addition to having both a microelectromechanical system (MEMS) and electrooptical interconnectivity. OMC is a well-referenced model that has been shown to have superior performance compared to many other parallel and/or optical models. Based on OMC, the well-known local memory parallel random access memory (PRAM) model was developed. Furthermore, variations of OMC were adopted by the industry in designing MEMS chips.

Soon after I graduated, I took a leading role in starting the heterogeneous computing field. I am the editor of the field's first book, Heterogeneous Computing , and the cofounder of the IEEE Heterogeneous Computing Workshop. The book in conjunction with the workshop shaped the field and paved the path to today's "cloud computing." As one of the first paradigms for executing heterogeneous tasks on heterogeneous systems, I developed the Cluster-M model. Prior models such as PRAM and LogP each had their limitations because they could not handle arbitrary systems or structures with heterogeneous computing nodes and interconnectivity. Cluster-M mapping is still the fastest known algorithm for mapping arbitrary task graphs onto arbitrary system graphs.

For over a decade now, I have been focusing on the bio- and nanoapplications of my work. I am a founding series coeditor of "Nature-Inspired Computing" for John Wiley & Sons and have edited the first book of this series, Bio-inspired and Nanoscale Integrated Computing . This is truly a multidisciplinary topic that required a significant amount of training from several fields. Toward this multidisciplinary field, I have studied various techniques for designing nanoscale computing architecture

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