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
Summary
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
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More From: International Journal of Online and Biomedical Engineering (iJOE)
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