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Wireless computing in medicine : from nano to cloud with ethical and legal implications /

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 m...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Eshaghian-Wilner, Mary Mehrnoosh (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, New Jersey : John Wiley & Sons, Inc., [2016]
Colección:Nature-inspired computing series.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro
  • TITLE PAGE
  • TABLE OF CONTENTS
  • CONTRIBUTORS
  • FOREWORD
  • PREFACE
  • PART I: INTRODUCTION
  • 1 INTRODUCTION TO WIRELESS COMPUTING IN MEDICINE
  • 1.1 INTRODUCTION
  • 1.2 DEFINITION OF TERMS
  • 1.3 BRIEF HISTORY OF WIRELESS HEALTHCARE
  • 1.4 WHAT IS WIRELESS COMPUTING?
  • 1.5 DISTRIBUTED COMPUTING
  • 1.6 NANOTECHNOLOGY IN MEDICINE
  • 1.7 ETHICS OF MEDICAL WIRELESS COMPUTING
  • 1.8 PRIVACY IN WIRELESS COMPUTING
  • 1.9 CONCLUSION
  • REFERENCES
  • 2 NANOCOMPUTING AND CLOUD COMPUTING
  • 2.1 INTRODUCTION
  • 2.2 NANOCOMPUTING
  • 2.3 CLOUD COMPUTING
  • 2.4 CONCLUSION
  • ACKNOWLEDGMENT
  • REFERENCES
  • PART II: PERVASIVE WIRELESS COMPUTING IN MEDICINE
  • 3 PERVASIVE COMPUTING IN HOSPITALS
  • 3.1 INTRODUCTION
  • 3.2 ARCHITECTURE OF PERVASIVE COMPUTING IN HOSPITALS
  • 3.3 SENSORS, DEVICES, INSTRUMENTS, AND EMBEDDED SYSTEMS
  • 3.4 DATA ACQUISITION IN PERVASIVE COMPUTING
  • 3.5 SOFTWARE SUPPORT FOR CONTEXT-AWARE AND ACTIVITY SHARING SERVICES
  • 3.6 DATA AND INFORMATION SECURITY
  • 3.7 CONCLUSION
  • ACKNOWLEDGMENT
  • REFERENCES
  • 4 DIAGNOSTIC IMPROVEMENTS
  • 4.1 INTRODUCTION
  • 4.2 SYSTEM DESIGN
  • 4.3 BODY SENSOR NETWORK
  • 4.4 PORTABLE SENSORS
  • 4.5 WEARABLE SENSORS
  • 4.6 IMPLANTABLE SENSORS
  • 4.7 WIRELESS COMMUNICATION
  • 4.8 MOBILE BASE UNIT
  • 4.9 CONCLUSION AND CHALLENGES
  • ACKNOWLEDGMENT
  • REFERENCES
  • 5 COLLABORATIVE OPPORTUNISTIC SENSING OF HUMAN BEHAVIOR WITH MOBILE PHONES
  • 5.1 HEALTH AND MOBILE SENSING
  • 5.2 THE InCense SENSING TOOLKIT
  • 5.3 SENSING CAMPAIGN 1: DETECTING BEHAVIORS ASSOCIATED WITH THE FRAILTY SYNDROME AMONG OLDER ADULTS
  • 5.4 SENSING CAMPAIGN 2: DETECTING PROBLEMATIC BEHAVIORS AMONG ELDERS WITH DEMENTIA
  • 5.5 DISCUSSION
  • 5.6 CONCLUSIONS AND FUTURE WORK
  • REFERENCES
  • 6 PERVASIVE COMPUTING TO SUPPORT INDIVIDUALS WITH COGNITIVE DISABILITIES
  • 6.1 INTRODUCTION.
  • 6.2 WEARABLE AND MOBILE SENSING PLATFORMS TO EASE THE RECORDING OF DATA RELEVANT TO CLINICAL CASE ASSESSMENT
  • 6.3 AUGMENTED REALITY AND MOBILE AND TANGIBLE COMPUTING TO SUPPORT COGNITION
  • 6.4 SERIOUS GAMES AND EXERGAMES TO SUPPORT MOTOR IMPAIRMENTS
  • 6.5 CONCLUSIONS
  • ACKNOWLEDGMENTS
  • REFERENCES
  • 7 WIRELESS POWER FOR IMPLANTABLE DEVICES
  • 7.1 INTRODUCTION
  • 7.2 HISTORY OF WIRELESS POWER
  • 7.3 APPROACH OF WIRELESS POWER TRANSMISSION
  • 7.4 A DETAILED EXAMPLE OF MAGNETIC COUPLING RESONANCE
  • 7.5 POPULAR STANDARDS
  • 7.6 WIRELESS POWER TRANSMISSION IN MEDICAL USE
  • 7.7 CONCLUSION
  • ACKNOWLEDGMENTS
  • REFERENCES
  • 8 ENERGY-EFFICIENT PHYSICAL ACTIVITY DETECTION IN WIRELESS BODY AREA NETWORKS
  • 8.1 INTRODUCTION
  • 8.2 KNOWME PLATFORM
  • 8.3 ENERGY IMPACT OF DESIGN CHOICES
  • 8.4 PROBLEM FORMULATION
  • 8.5 SENSOR SELECTION STRATEGIES
  • 8.6 ALTERNATIVE PROBLEM FORMULATION
  • 8.7 SENSOR SELECTION STRATEGIES FOR THE ALTERNATIVE FORMULATION
  • 8.8 EXPERIMENTS
  • 8.9 RELATED WORK
  • 8.10 CONCLUSION
  • ACKNOWLEDGMENTS
  • REFERENCES
  • 9 MARKOV DECISION PROCESS FOR ADAPTIVE CONTROL OF DISTRIBUTED BODY SENSOR NETWORKS
  • 9.1 INTRODUCTION
  • 9.2 RATIONALE FOR MDP FORMULATION
  • 9.3 RELATED WORK
  • 9.4 PROBLEM STATEMENT, ASSUMPTIONS, AND APPROACH
  • 9.5 MDP MODEL FOR MULTIPLE SENSOR NODES
  • 9.6 COMMUNICATION
  • 9.7 SIMULATION RESULTS
  • 9.8 CONCLUSIONS
  • ACKNOWLEDGMENT
  • REFERENCES
  • PART III: NANOSCALE WIRELESS COMPUTING IN MEDICINE
  • 10 AN INTRODUCTION TO NANOMEDICINE
  • 10.1 INTRODUCTION
  • 10.2 NANOMEDICAL TECHNOLOGY
  • 10.3 DETECTION
  • 10.4 TREATMENT
  • 10.5 BIOCOMPATIBILITY
  • 10.6 POWER
  • 10.7 COMPUTER MODELING
  • 10.8 RESEARCH INSTITUTIONS
  • 10.9 CONCLUSION
  • ACKNOWLEDGMENTS
  • REFERENCES
  • 11 NANOMEDICINE USING MAGNETO-ELECTRIC NANOPARTICLES
  • 11.1 INTRODUCTION
  • 11.2 OVERVIEW OF MENs.
  • 11.3 EXPERIMENT 1: EXTERNALLY CONTROLLED ON-DEMAND RELEASE OF ANTI-HIV DRUG AZTTP USING MENS AS CARRIERS
  • 11.4 EXPERIMENT 2: MENS TO ENABLE FIELD-CONTROLLED HIGH-SPECIFICITY DRUG DELIVERY TO ERADICATE OVARIAN CANCER CELLS
  • 11.5 EXPERIMENT 3: MAGNETOELECTRIC "SPIN" ON STIMULATING THE BRAIN
  • 11.6 BIOCERAMICS: BONE REGENERATION AND MNS
  • 11.7 CONCLUSION
  • REFERENCES
  • 12 DNA COMPUTATION IN MEDICINE
  • 12.1 BACKGROUND FOR THE NON-BIOLOGIST
  • 12.2 INTRODUCTION
  • 12.3 IN VITRO COMPUTING
  • 12.4 COMPUTATION IN VIVO
  • 12.5 CHALLENGES
  • 12.6 GLIMPSE INTO THE FUTURE
  • REFERENCES
  • 13 GRAPHENE-BASED NANOSYSTEMS FOR the DETECTION OF PROTEINIC BIOMARKERS OF DISEASE
  • 13.1 INTRODUCTION
  • 13.2 STRUCTURAL AND PHYSICOCHEMICAL PROPERTIES OF GRAPHENE AND MAIN DERIVATIVES
  • 13.3 GRAPHENE AND DERIVATIVES-BASED BIOSENSING NANOSYSTEMS AND APPLICATIONS
  • 13.4 CONCLUSION AND PERSPECTIVES
  • CONFLICT OF INTEREST
  • REFERENCES
  • 14 MODELING BRAIN DISORDERS IN SILICON NANOTECHNOLOGIES
  • 14.1 INTRODUCTION
  • 14.2 THE BioRC PROJECT
  • 14.3 BACKGROUND: BioRC NEURAL CIRCUITS
  • 14.4 MODELING SYNAPSES WITH CNT TRANSISTORS
  • 14.5 MODELING OCD WITH HYBRID CMOS/NANO CIRCUITS
  • 14.6 THE BIOLOGICAL CORTICAL NEURON AND HYBRID ELECTRONIC CORTICAL NEURON
  • 14.7 BIOLOGICAL OCD CIRCUIT AND BIOMIMETIC MODEL
  • 14.8 INDIRECT PATHWAY: THE BRAKING MECHANISM
  • 14.9 DIRECT PATHWAY: THE ACCELERATOR
  • 14.10 TYPICAL AND ATYPICAL RESPONSES
  • 14.11 MODELING SCHIZOPHRENIC HALLUCINATIONS WITH HYBRID CMOS/NANO CIRCUITS
  • 14.12 EXPLANATION FOR SCHIZOPHRENIA SYMPTOMS
  • 14.13 DISINHIBITION DUE TO MISWIRING
  • 14.14 OUR HYBRID NEUROMORPHIC PREDICTION NETWORK
  • 14.15 SIMULATION RESULTS
  • 14.16 NUMERICAL ANALYSIS OF FALSE FIRING
  • 14.17 MODELING PD WITH CMOS CIRCUITS
  • 14.18 MODELING MS WITH CMOS CIRCUITS
  • 14.19 DEMYELINATION CIRCUIT
  • 14.20 CONCLUSIONS AND FUTURE TRENDS.
  • 19.3 PRIVACY LAWS AND REGULATIONS OF EHRs
  • 19.4 PRIVACY OF EHRs IN e-HEALTHCARE SYSTEMS
  • 19.5 DISCUSSION AND CONCLUSION
  • 19.6 CONTRIBUTIONS AND FUTURE RESEARCH
  • REFERENCES
  • 20 ETHICAL, PRIVACY, AND INTELLECTUAL PROPERTY ISSUES IN NANOMEDICINE
  • 20.1 INTRODUCTION
  • 20.2 ETHICAL ISSUES
  • 20.3 PRIVACY ISSUES
  • 20.4 IP ISSUES
  • 20.5 CONCLUSION
  • ACKNOWLEDGMENTS
  • REFERENCES
  • PART V: CONCLUSION
  • 21 CONCLUDING REMARKS
  • 21.1 WIRELESS COMPUTING IN HEALTH CARE
  • 21.2 NANOMEDICINE
  • 21.3 ETHICAL, PRIVACY, AND INTELLECTUAL PROPERTY ISSUES OF NANOMEDICINE AND WIRELESS COMPUTING
  • 21.4 CONCLUSIONS
  • ACKNOWLEDGMENTS
  • REFERENCES
  • INDEX
  • END USER LICENSE AGREEMENT.