Context modeling and reasoning framework for cara pervasive healthcare
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Context Modeling and Reasoning Framework for CARA Pervasive Healthcare. Bingchuan Yuan, John Herbert University College Cork, Ireland. Introduction. System Evaluation. 1. 5. System Overview. 2. Reasoning Engine. 3. Case Study. Demo Video. 4. 6. Contents. Population > 65.

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Context Modeling and Reasoning Framework for CARA Pervasive Healthcare

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Context modeling and reasoning framework for cara pervasive healthcare

Context Modeling and Reasoning Framework for CARA Pervasive Healthcare

Bingchuan Yuan, John Herbert

University College Cork, Ireland


Contents

Introduction

System Evaluation

1

5

System Overview

2

Reasoning Engine

3

Case Study

Demo Video

4

6

Contents


Introduction

Population > 65

Healthcare Cost

Introduction

  • Healthcare Vs Aging Society

    The healthcare system has become a national challenge with increasing growing aging population.


Introduction1

Introduction

  • Pervasive Healthcare

    Traditional clinical setting  Home-centered setting

    Wireless sensor networks & Web technologies

Internet

WSN


Introduction2

Introduction

  • Related Work

    CodeBlue – Wireless Sensors for Medical Care

    PlaceLab – Living Labs to Study Context-aware computing

    SAPHE – Smart and Aware Pervasive Healthcare Environment


System overview

System Overview

  • CARA for Pervasive Healthcare

    CARA (Context-Aware Real-time Assistant)

    Real-time

    Intelligent

    At-home healthcare

  • Rich Internet Application

    Universal access

    Real-time user interaction

    Adobe Flash


System overview1

System Overview

  • CARA Components

Remote Monitoring System

WSN (Wireless Sensor Network)

Data Review System

Healthcare Reasoning System


System overview2

System Overview

  • System Architecture

Home Gateway


Reasoning engine

Reasoning Engine

  • Overview Flow Chart


Reasoning engine1

Reasoning Engine

  • Context Modeling

    - Person entity

    Identify the person, his profile and his movement.

    - Physiology entity

    Identify vital signs of a person.

    - Area entity

    Identify rooms and area in the environment.

    - Object entity

    Identify objects the person can interact with.


Reasoning engine2

Reasoning Engine


Reasoning engine3

Reasoning Engine

  • Fuzzy Set Examples


Reasoning engine4

Reasoning Engine

  • Fuzzy Relations


Reasoning engine5

Reasoning Engine

  • Fuzzy Relations

Personal Entities

Ambient Entities

Medical History

Activity Events

Medical Condition

Decision

Object Entities

Physiology Entities


Reasoning engine6

Reasoning Engine

  • Rules Example


Reasoning engine7

Reasoning Engine

  • Rules Setting


Case study

1

2

3

Real-time Remote Monitoring Under Supervision

Real-time Remote At-home Monitoring

Remote Pervasive Healthcare & Data Review

Case Study


Case study1

Case Study

  • Real-time Remote Monitoring Under Supervision Scenario

Web


Case study2

Case Study

  • Real-time Remote At-home Monitoring

    Scenario

Web


Case study3

Case Study

  • Remote Pervasive Healthcare & Data Review Scenario

Sensor Data Review

Web

Video Replay


System evaluation

System Evaluation

  • Snapshot


System evaluation1

System Evaluation

  • Use Case Testing

    (a) Scale of situation prediction (b) confidence of situation prediction


System evaluation2

System Evaluation

  • Performance

    Different amounts of fuzzy rules with several data sets input are applied


Demo video

Demo Video


Demo video1

Demo Video


University college cork

Thank You !

University College Cork


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