Sensor Technologies : : Healthcare, Wellness and Environmental Applications.

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Bibliographic Details
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TeilnehmendeR:
Place / Publishing House:Berkeley, CA : : Apress L. P.,, 2013.
Ã2013.
Year of Publication:2013
Edition:1st ed.
Language:English
Online Access:
Physical Description:1 online resource (321 pages)
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Table of Contents:
  • Intro
  • Contents at a Glance
  • Contents
  • About the Authors
  • About the Technical Reviewers
  • Acknowledgments
  • Foreword
  • Preface
  • Chapter 1: Introduction
  • What This Book Covers
  • A Brief History of Sensors
  • Drivers for Sensor Applications
  • Health and Fitness
  • Aging Demographics
  • Personalized Healthcare
  • Public Health
  • Technology Nexus
  • National Security
  • The Internet of Things
  • Water and Food
  • Environmental Challenges
  • Challenges for Sensor Applications
  • Sensors Enabling Innovation
  • References
  • Chapter 2: Sensing and Sensor Fundamentals
  • What Is a Sensor and What Is Sensing?
  • Introduction to the Key Sensing Modalities
  • Mechanical Sensors
  • MEMS Sensors
  • Accelerometers
  • Gyroscopes
  • Optical Sensors
  • Photodetectors
  • Infrared (IR)
  • Fiber Optic
  • Interferometers
  • Semiconductor Sensors
  • Gas Sensors
  • Temperature Sensors
  • Magnetic Sensors
  • Optical Sensors
  • Ion-Sensitive Field-Effect Transistors (ISFETs)
  • Electrochemical Sensors
  • Potentiometric Sensors
  • Amperometric Sensors
  • Coulometric
  • Conductometric Sensors
  • Biosensors
  • Transducers for Biosensors
  • Key Characteristics of Biosensors
  • Application Domains
  • Environmental Monitoring
  • Air
  • Water
  • Sound (Noise Pollution)
  • Soil
  • Healthcare
  • Wellness
  • Monitoring Recreational Activity
  • Personal Safety
  • Activity and Location Detection
  • Sensor Characteristics
  • Range
  • Transfer Function
  • Linear Transfer Functions
  • Linearization
  • Non-Linear Transfer Functions
  • Linearity and Nonlinearity
  • Sensitivity
  • Environmental Effects
  • Modifying Inputs
  • Interfering Inputs
  • Hysteresis
  • Resolution
  • Accuracy
  • Precision
  • Error
  • Systematic Errors
  • Random Errors (Noise)
  • Error Bands
  • Statistical Characteristics
  • Repeatability
  • Tolerance
  • Dynamic Characteristics
  • Response Time.
  • Dynamic Linearity
  • Summary
  • References
  • Chapter 3: Key Sensor Technology Components: Hardware and Software Overview
  • Smart Sensors
  • Sensor Systems
  • Sensor Platforms
  • The Arduino I/O Board
  • Shimmer
  • Smartphones and Tablets
  • Microcontrollers for Smart Sensors
  • CPUs
  • Registers
  • Memory
  • Timers and Counters
  • Debugging Interfaces
  • Common Microcontrollers
  • Interfaces and Embedded Communications
  • Embedded Digital Interfaces and Protocols
  • Serial Peripheral Interface (SPI)
  • The I 2 C Bus
  • Analog Interfacing
  • Sensor Communications
  • Standard Wired Interfaces
  • RS-232
  • Virtual Serial Ports
  • RS-485
  • Universal Serial Bus (USB)
  • Short- and Medium-Range Standards for Wireless Communications
  • Proprietary Wireless Protocols
  • Power Management and Energy Harvesting
  • Power Management
  • Energy Harvesting
  • Microcontroller Software and Debugging
  • IDEs
  • Development Languages
  • Testing Code
  • Summary
  • References
  • Chapter 4: Sensor Network Topolog ies and Design Considerations
  • Sensor Network Components
  • Sensor Nodes
  • Aggregators, Base Stations, and Gateways
  • Machine-to-Machine Devices
  • Proprietary M2M solutions
  • Smartphones
  • Traditional M2M Platforms
  • Sensor Network Topologies
  • Sensor Network Applications
  • Personal Area Networks
  • Ambient/Pervasive Home Sensor Networks
  • Wide Area Networks
  • Sensor Network Features and Challenges
  • Security
  • Key Security Goals
  • Attacks on Sensor Networks
  • Security Approaches
  • Biometrics
  • Challenges for Sensor Networks
  • Summary
  • References
  • Chapter 5: Processing and Adding Vibrancy to Sensor Data
  • Data Literacy
  • The Internet of Things
  • Sensors and the Cloud
  • Data Quality
  • Addressing Data Quality Issues
  • Outlier Detection
  • Automated Data Cleaning
  • Plausibility Testing
  • Fusing Sensor Data
  • Data Mining.
  • Data Visualization
  • Big Sensor Data
  • Summary
  • References
  • Chapter 6: Regulations and Standards: Considerations for Sensor Technologies
  • Regulation of Medical Devices
  • CE Marking
  • U.S. FDA
  • Other Medical Device Regulators
  • Standards for Medical Devices
  • Industry Standards and Certification
  • Continua
  • Integrating the Healthcare Enterprise (IHE)
  • Happtique Health App Certification Program (HACP)
  • Quality Management System Standards
  • Clinical Research Standards
  • Declaration of Helsinki
  • Good Clinical Practice (GCP)
  • Data Interoperability Standards
  • CEN ISO/IEEE 11073
  • Health Level 7 (HL7)
  • Regulation of Environmental Sensors
  • Environmental Noise
  • Ambient Air Quality
  • Indoor Air Quality
  • Drinking Water
  • Regulation and Allocation of Radio Spectrum
  • Challenges
  • Country-Specific Regulatory Processes
  • Mobile Health Applications
  • Personalized Medicine
  • Citizen Science
  • Summary
  • References
  • Chapter 7: The Data Economy of Biosensors
  • The Evidence Base
  • Why Building Technologies for "Should" Rarely Helps
  • The Consequences of Designing for "Should"
  • Why Designing for "Could" Matters
  • Requirements for a Data Economy of "Could"
  • Summary
  • References
  • Chapter 8: Sensor Deployments for Home and Community Settings
  • Healthcare Domain Challenges
  • Study Design
  • Setting the Research Questions
  • Clinical Cohort Characterization
  • Protocol Options: Supervised vs. Unsupervised
  • Clinical Benefit
  • Home Deployment Elements
  • Home- and Community-Based Sensing
  • Body-Worn Assessment Applications
  • Ambient Sensing
  • User Touch Points
  • Participant Feedback
  • Home Deployment Management
  • Remote Deployment Framework
  • The Prototyping Design Process
  • Design for and with the End User
  • Design with Multidisciplinary Team Members
  • Data Analytics and Intelligent Data Processing.
  • Case Studies
  • Case Study 1: Quantified Timed Get Up and Go (QTUG) Test
  • Algorithm Development
  • Model Development
  • Prototype Development
  • Case Study 2: Ambient Assessment of Daily Activity and Gait Velocity
  • Case Study 3: Training for Focused Living
  • Lessons Learned
  • The Installation Process
  • Key Sensor Findings
  • Data Quality
  • User Engagement
  • Summary
  • References
  • Chapter 9: Body-Worn, Ambient, and Consumer Sensing for Health Applications
  • Changing the Way We Do Healthcare
  • Sensing Context in Health Applications
  • Hospital and Community-Based Sensing for Assessment and Diagnosis
  • Monitoring Vital Signs
  • Heart Rate
  • Blood Pressure
  • Temperature
  • Respiratory Rate
  • Blood Oxygenation
  • Community-Based Sensing
  • Home-Based Clinical Applications
  • Chronic Disease Management
  • Investigative and Episodic Monitoring
  • Mobility and Behavioral Monitoring
  • Biomechanical Rehabilitation
  • Aggregation and Management
  • The Smartphone as a Healthcare Platform
  • Self-care Diagnostic Test Kits
  • Enzymatic/Immunological Assays
  • Enzymatic Test Strips
  • Chromatic Wet Chemistry
  • The Home Test Market
  • Home Genetic Testing
  • Key Drivers and Challenges
  • Drivers and Challenges in Healthcare Systems
  • Technology Drivers and Challenges
  • Consumer Drivers and Challenges
  • The Future of Sensor-Based Applications for Healthcare
  • Summary
  • References
  • Chapter 10: Wellness, Fitness, and Lifestyle Sensing Applications
  • Drivers and Barriers: Sports and Fitness Sensing
  • Drivers for Sports and Fitness Sensing
  • Barriers to Sports and Fitness Sensing
  • Sports and Fitness Applications
  • Supporting Wireless Technologies
  • Fitness Sensing
  • Clothing
  • Sports Equipment Sensing
  • Cycling
  • Golf
  • Sensing in Other Sports
  • Sports and Fitness Statistics
  • Activity and Well-Being.
  • Obesity and Weight Management
  • Sleep
  • Baby Sleep Monitoring
  • Sleep Apnea
  • Posture Monitoring
  • Personal Safety
  • Home Safety Monitoring
  • Safety Monitoring and Falls Detection
  • Alcohol Monitoring
  • The Future of Sensor-Based Wellness, Fitness, and Lifestyle Applications
  • Summary
  • References
  • Chapter 11: Environmental Monitoring for Health and Wellness
  • Drivers of Environmental Sensing
  • Cost
  • Smartphones
  • Civic Sensing
  • Sampling
  • Environmental Sensing and Network and Communications Technologies
  • Barriers to Adoption
  • Power Consumption
  • Robustness and Cost
  • Technology Limitations
  • Security Concerns
  • Usability and Scalability
  • Interoperability
  • Data Quality and Ownership
  • Environmental Parameters
  • Air Quality and Atmospheric Conditions
  • Sensing Air Quality
  • Sensing Indoor Air Quality
  • Community-Based Outdoor Air Quality Monitoring
  • Monitoring Ambient Weather
  • UVA/UVB Monitoring
  • Water Quality Monitoring
  • Physical Water Sensing
  • Chemical Water Sensing
  • Biological Pathogen Water Sensing
  • Mobile Water-Quality Sensing
  • Environmental Noise Pollution
  • Radiation Sensing
  • Environmental Impact on Food
  • Future Directions for Environmental Monitoring
  • Summary
  • Chapter 12: Summary and Future Trends
  • So Far
  • Into the Future
  • Pervasiveness
  • Technology
  • Personal Health
  • Crowdsourcing
  • The Sensing Nexus
  • References
  • Index.