Wireless Sensor Networks for Healthcare Applications

Name: Wireless Sensor Networks for Healthcare Applications
Brand: Artech House
Price: 101.99 EUR
Availability: OnlineOnly

Terrance J. Dishongh(Author)

Artech House (Publisher)

1st Edition

Published on 1. January 2009

262 pages

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978-1-59693-306-4 (ISBN)

€101.99incl. 7% vat

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Wireless Sensor Networks for Healthcare Applications
Contents
Acknowledgments
Chapter 1 Healthcare and the Wireless Sensor Network
1.1 Introduction
1.2 Structure
1.3 The Demographic Context
1.4 The Potential of Technology
1.4.1 Sensor Networks for At-Home Care
1.4.2 Wireless Biomedical Sensor Networks
1.4.3 Value to Clinicians and Caregivers
1.4.4 Benefits of At-Home WSNs
1.5 General Approach to WSN in Healthcare
1.5.1 Key Principles
1.5.2 Methodology
1.6 Conclusion
References
Chapter 2 Sensor Network Technologies
2.1 Introduction
2.2 Wireless Sensor Networks
2.2.1 Network Architectures
2.2.2 TCP/IP and WSNs
2.3 WSN Technologies
2.3.1 Motes
2.3.2 MICA
2.3.3 iMote
2.3.4 Microcontrollers
2.3.5 Radio Transceivers
2.3.6 Radios for WSN Applications
2.3.7 System-on-Chip
2.3.8 Antenna Designs for Wireless Sensors
2.3.9 Operating Systems
2.3.10 Sensors and Actuators for Healthcare WSNs
2.4 Conclusion
References
Chapter 3 Informing Your Design
3.1 Introduction
3.2 Clinician Requirements
3.2.1 Data to Be Collected
3.2.2 Information Reporting
3.2.3 Subject Interaction
3.2.4 Environment
3.2.5 Sample CRD Contents
3.3 End User Modeling
3.3.1 User Definition: The Role of Ethnography
3.3.2 Ethnographic Modeling
3.3.3 Ethnography: Conclusion
3.4 Usage Modeling
3.4.1 The Usage Modeling Process
3.4.2 Benefits of Usage Modeling
3.5 Requirements
3.5.1 Use Cases
3.6 Failure Modes and Effects Analysis
3.6.1 FMEA Example #1
3.6.2 FMEA Example #2
3.7 Conclusion
3.8 Field Experience: Furniture Cruising
References
Select Bibliography
Chapter 4 Technology Selection
4.1 Introduction
4.2 Practical Guidelines for Architecting WSN Solutions for Healthcare
4.2.1 Generalized WSN Architecture for Healthcare
4.2.2 Literature Highlights: Architectural Models
4.3 From Requirements Statement to Technology Selection
4.4 Hardware Choices
4.4.1 Selection Criteria
4.4.2 Relevant Clinical Research
4.4.3 Off-the-Shelf, or Bespoke?
4.4.4 Two-Chip or Single-Chip?
4.4.5 Documentation Is Essential: The PDRD
4.4.6 Hardware Prototyping and Design Review
4.5 Firmware Choices
4.5.1 RTOS or Simple Scheduler?
4.5.2 Operating System
4.5.3 TinyOS
4.5.4 Communications Standards: ISO/IEEE 11073
4.6 Software Choices
4.6.1 Software Considerations
4.6.2 Programming Languages
4.6.3 IDE and Compilers
4.6.4 Transparency of Source Code
4.6.5 Data Management
4.6.6 Conclusion
4.7 Field Experience #1: Radio Enclosures
4.8 Field Experience #2: Bluetooth Testing
4.8.1 Introduction
4.8.2 Experimental Process
4.8.3 Results
4.8.4 Conclusions
References
Useful Links
Chapter 5 Data Collection and Decision Making
5.1 Introduction to Inference Modeling
5.1.1 Categories of Inference Engines
5.1.2 Limitations of Predictive Analytics
5.2 Static Rules-Based Models
5.2.1 Example of a Static Rules-Based Application
5.3 Statistical Probability Models
5.4 Bayesian and Markov Models
5.4.1 Field Experiences ADL Applications
References
Chapter 6 Deploying in the Field
6.1 Introduction
6.2 Planning
6.3 Testing
6.3.1 Bench Testing
6.3.2 Lab Testing
6.3.3 Friendly Environment Test
6.3.4 Ethical Review and Labeling
6.3.5 Premarket Testing
6.3.6 Documentation
6.4 Preinstall
6.5 Installation
6.6 Maintenance
6.7 Teardown
6.8 Field Experience
6.8.1 Planning
6.8.2 Choice of Radio
6.8.3 Installation
6.8.4 Building Materials
6.8.5 Participant Tests
6.8.6 Human Frailty
6.8.7 Fluorescent Lamps and Infrared
References
Chapter 7 Clinical Deployments of Wireless Sensor Networks: Gait
7.1 Introduction
7.2 Clinical Problem Statement
7.3 Clinical Research Objective
7.3.1 Technology Objective
7.4 Clinician Requirements
7.4.1 User Definitions and Permissions
7.4.2 Clinical Parameters
7.4.3 Data Collection and Storage
7.4.4 Data Analysis and Reporting
7.4.5 Subject Interaction
7.5 Ethnography and Usage Modeling
7.6 Environmental Issues
7.7 Technology Selection Criteria
7.8 Technology Selection
7.8.1 Device
7.8.2 Sensor Technology
7.8.3 Radio
7.8.4 Footfall Mapping Technology
7.8.5 Video Cameras and System Layout
7.8.6 Software
7.9 Prototype Definitions Requirements Document
7.9.1 Purpose of PDRD
7.9.2 System Description: Footfall Sensor
7.9.3 System Description: Body-Worn Sensors
7.9.4 System Description: Software
7.9.5 System Description: Video
7.9.6 System Description: Miscellaneous Sensors
7.10 System Validation
7.11 Conclusion
References
Chapter 8 Contextual Awareness Medication Prompting Field Trials in Homes
8.1 Introduction
8.2 Problem Statement
8.2.1 Medication Reminders
8.3 Research Objective
8.4 Ethnographic Research on Medication Routines
8.5 Probe Study: Three Existing Medication Reminders
8.5.1 Probe Study Participants
8.5.2 Probe Study Procedure
8.5.3 Probe Study Results and Discussion
8.5.4 Device Preferences
8.6 Collaborative Design
8.7 Ethnographic, Probe Study, and Collaborative Design Results
8.8 Use Cases
8.8.1 Use Case #1
8.8.2 Use Case #2
8.8.3 Use Case #3
8.9 Technical Design
8.10 Technology Selection
8.11 Prototype Definition Requirements Document
8.11.1 System Description: iMedTracker
8.11.2 System Description: Health SPOT
8.11.3 System Description: Activity Beacon
8.11.4 System Description: Phone Sensor
8.11.5 System Description: Bed Sensor
8.11.6 System Description: Motion Sensor
8.11.7 System Description: Door Sensor
8.12 Software: The Inference Engine
8.12.1 The Total Set of Activities to Be Detected or Inferred
8.12.2 Activities Affecting Adherence
8.12.3 Activities Affecting Ability to Respond to Prompts
8.12.4 Other Significant Effects to Detect
8.12.5 Some Candidate Effects Not Detected
8.12.6 Sensors and Actuators to Be Deployed
8.12.7 Types of Inference
8.13 Reasoning System for Context-Aware Prompting
8.14 Explanation of Location Tracking Using the Health SPOT Watch
8.14.1 Literature Review
8.14.2 RSSI and BER for Location
8.14.3 Health SPOT Device Construction and Software
8.14.4 Prompting Stack Pseudocode
8.15 Conclusion
References
Chapter 9 Case Study: Social Health
9.1 Introduction
9.2 Clinical Problem Statement
9.3 Clinical Research Objective
9.4 Technology Objectives
9.5 System Architecture
9.6 Requirements Capture and User Modeling
9.6.1 Clinical Requirements
9.6.2 Usage Models
9.6.3 Data to Be Collected
9.6.4 Subject Interaction
9.6.5 Environment
9.7 Technology Selection Criteria
9.8 Technology Selection
9.8.1 Mote
9.8.2 Door Sensors
9.8.3 Motion Sensors
9.8.4 Location Sensors
9.8.5 Presence Lamp
9.8.6 Software
9.9 Deployment
9.9.1 Radio Enclosures
9.9.2 Infrared Location Tracking Issues
9.9.3 Building Materials
9.9.4 Pets
9.9.5 Every House Is Different
9.10 Results
9.11 Conclusion
References
Chapter 10 Future of Wireless Sensor Networks for Healthcare
10.1 Introduction
10.2 Noncontact Sensing: The Burnfoot Project
10.2.1 Incorporation of Derivation Findings into Burnfoot Sensor Simulations
10.2.2 Potential Applications
10.2.3 Burnfoot Validation
10.3 Using Radio Frequency for the Biosignals Data Collection
10.3.1 Leveraging the Doppler Effect
10.4 Movement to Standardized Radios for WSN
10.5 Ubiquitous Displays
10.6 Conclusion
References
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