Unlike other books on wireless sensors networks, this unique reference focuses on methods of application, validation and testing based on real deployments of sensor networks in the clinical and home environments. Key topics include healthcare and wireless sensors, sensor network applications, designs of experiments using sensors, data collection and decision making, clinical deployment of wireless sensor networks, contextual awareness medication prompting field trials in homes, social health monitoring, and the future of wireless sensor networks in healthcare.
Table Of Contents
Healthcare and the Wireless Sensor Network -Introduction. Structure. The Demographic Context. The Potential of Technology. General Approach to WSN in Healthcare. Conclusion. ; Sensor Network Technologies -Introduction. Wireless Sensor Networks. WSN Technologies. Conclusion. ; Informing Your Design -Introduction. Clinician Requirements. End User Modeling. Usage Modeling. Requirements. Failure Modes and Effects Analysis. Conclusion. Field Experience: Furniture Cruising. ; Technology Selection -Introduction. Practical Guidelines for Architecting WSN Solutions for Healthcare. From Requirements Statement to Technology Selection. Hardware Choices. Firmware Choices. Software Choices. Field Experience #1: Radio Enclosures. Field Experience #2: Bluetooth Testing. ; Data Collection and Decision Making -Introduction to Inference Modeling. Static Rules-Based Models. Statistical Probability Models. Bayesian and Markov Models. ; Deploying in the Field -Introduction. Planning. Testing. Preinstall. Installation. Maintenance. Teardown. Field Experience. ; Clinical Deployments of Wireless Sensor Networks: Gait -Introduction. Clinical Problem Statement. Clinical Research Objective. Clinician Requirements. Ethnography and Usage Modeling. Environmental Issues. Technology Selection Criteria. Technology Selection. Prototype Definitions Requirements Document. System Validation. Conclusion. ; Contextual Awareness Medication Prompting Field Trials in Homes -Introduction. Problem Statement. Research Objective. Ethnographic Research on Medication Routines. Probe Study: Three Existing Medication Reminders. Collaborative Design. Ethnographic, Probe Study, and Collaborative Design Results. Use Cases. Technical Design. Technology Selection. Prototype Definition Requirements Document. Software: The Inference Engine. Reasoning System for Context-Aware Prompting. Explanation of Location Tracking Using the Health SPOT Watch. Conclusion. ; Case Study: Social Health -Introduction. Clinical Problem Statement. Clinical Research Objective. Technology Objectives. System Architecture. Requirements Capture and User Modeling. Technology Selection Criteria. Technology Selection. Deployment. Results. Conclusion.; Future of Wireless Sensor Networks for Healthcare -Introduction. Noncontact Sensing: The Burnfoot Project. Using Radio Frequency for the Biosignals Data Collection. Movement to Standardized Radios for WSN. Ubiquitous Displays. Conclusion. ; Index ;
Terrance J. Dishongh
Terrance Dishongh is the principle engineer and lead technologist in the Digital Health Research and Innovation Group at Intel Corporation. Dr. Dishongh has held faculty positions at the University of Maryland and the State University of New York at Buffalo. He received his M.S. from the University of Tennessee, Knoxville and his Ph.D. from the University of Arizona.
Michael McGrath is a researcher in IT Research at Intel Corporation with a focus on high volume manufacturing. He received his Ph.D. in sensors and instrumentation from Dublin City University. Dr. McGrath is also a chartered chemist and chartered scientist.