Abstract

Telemonitoring systems have proven to greatly reduce medical costs while improving the quality of medical care. Today, the main factors restricting the development and popularization of Telemonitoring systems include scalability and compatibility. The current sensor devices lack unified standards and deliver complicated data structures. This paper presents the design for an ontology-based context model, and related middleware, that provide a reusable and extensible application framework for Remote Healthcare and assistance at home. We define the semantic information to describe attributes of sensors, services and working procedures. Developers may rewrite the service definition to adapt to new requirements as needed.

Highlights

  • A Telemonitoring System can be defined as a technological means for sending remote physiological information and medical signals through a communication network to a monitoring center for analysis and diagnostics

  • In order to overcome the dynamic properties and the heterogeneity of the external sensor data, this paper presents the design for a sensor context bnowledge-base, based on ontology [3], and develops a data definition language (DDL) to dynamically resolve sensor data according to the information in the knowledge-base

  • All steps in the Telemonitoring are modularized to facilitate dynamic trend, discovery, code generation and deployment of new remote medical services through semantic ontology information

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Summary

A SOA and Knowledge-based Telemonitoring Framework

Abstract—Telemonitoring systems have proven to greatly reduce medical costs while improving the quality of medical care. The main factors restricting the development and popularization of Telemonitoring systems include scalability and compatibility. The current sensor devices lack unified standards and deliver complicated data structures. This paper presents the design for an ontologybased context model, and related middleware, that provide a reusable and extensible application framework for Remote Healthcare and assistance at home. We define the semantic information to describe attributes of sensors, services and working procedures. Developers may rewrite the service definition to adapt to new requirements as needed

INTRODUCTION
Context-Aware Middleware
SOC and Modeling
System structure
TCAM Structure
System Operating Principle
Knowledge-base design
Modeling
Device discovery
Code generation and service publication
Deployment and execution
EXPERIMENT
The first step is to add new devices
Deployment and Code generation
CONCLUSION
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