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Wireless Networking and Sensing Technologies for a Real-Time Remote Health Care System

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UCLA UCR Caltech USC CSU JPL UC Merced. Center for Embedded Networked Sensing ... To build and deploy a system that connects a patient and a ... – PowerPoint PPT presentation

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Title: Wireless Networking and Sensing Technologies for a Real-Time Remote Health Care System


1
Wireless Networking and Sensing Technologiesfor
a Real-Time Remote Health Care System
Center for Embedded Networked Sensing
David Jea, Sasank Reddy, Ian Yap, Ramkumar
Rengaswamy, Saurabh Ganeriwal, and Mani
Srivastava
Introduction
  • Goal
  • To build and deploy a system that connects a
    patient and a physician and provide capabilities
    such as (i) obtaining multi-tier diagnosis
    information, (ii) receiving emergency alerts, and
    (iii) enabling on-the-fly remote treatment in a
    reliable and cost-affective manner.
  • To make healthcare available to anyone, anytime,
    and anywhere by increasing both the coverage and
    quality of pervasive healthcare.

Topics of Interest Problem/(Solution)
Description
  • Body Sensor Network
  • Develop on wireless sensor node platform that is
    wearable and reconfigurable. (Mote SOS)
  • Build evaluation boards for sensors that are wide
    used in medical applications. (ECG sensor, 3-axis
    Accelerometer)
  • Personal Mobile Devices
  • The system requires small form factor for
    patients to carry. (8cm?2cm Gumstix platform and
    GUI decoupling)
  • Multiple radio interfaces
  • Broad coverage and persistant connection. (GPRS)
  • Sensor network interaction. (Zigbee)
  • Patient graphic operating interface. (Bluetooth)
  • Network Support for Mobile Telemedicine
  • Medical service servers for data collection and
    analyzing.
  • Tunneling servers for connections between
    physicians and patients. (VPN PPP-SSH)
  • Security Privacy
  • Data Validation, Encryption of Communication,
    Security of Usage, Storage Security.
  • Data Processing and Inference Engine
  • Multi-resolution data and adaptive data
    collection.
  • Classification of medical phenomenon. (Bayesian
    classfier designed by Winston Wu, Alex Bui, et
    al.)
  • Web Service Interfaces Standard Messages
  • Common web services interface with main
    functionality being a Query and aggregation
    procedure.
  • Enable BSN gateway to communicate sensor data
    using a standard format (SOAP XML). BSN gateway
    registers with an entity so clients can easily
    search for potential sources of data.
  • Service Discovery
  • BSN is able to dynamically discover and add new
    ambient sensors under its control, and the
    services of these sensors can be exported to be
    accessed by external sources.
  • Require minimal user intervention and can
    efficiently and reliably register with sensors,
    including those that have proximity requirements
    for access.

System Design
  • First-Cut Design
  • Current Prototype I

MSS
BSN Body Sensor Networks GWN Gateway Node PID
Patient Interaction Device DID Doctor
Interaction Device MSS Medical Service
Server TS Tunneling Server
TS
Internet
GPRS
GPRS
BSN
GWN
DID
PID
MicaZ
Gumstix
MicaZ
MicaZ
MicaZ
ZigBee
Bluetooth
doctor
patient
  • Current Prototype II
  • SW Architecture

UCLA UCR Caltech USC CSU JPL UC
Merced
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