Data model for health telemonitoring and persuasive system design
by Pierre Maret; Pravin Amrut Pawar; Shin'ichi Warisawa; Fabrice Muhlenbach; Guillaume Lopez; Ichiro Yamada
International Journal of Intelligent Information and Database Systems (IJIIDS), Vol. 10, No. 1/2, 2017

Abstract: The health telemonitoring systems are expected to accomplish two basic tasks: continuously collect data from data sources wherever they may be; and allow remote communication between the stakeholders to access data. This data is further used by decision making systems to infer a patient's condition and possibly to motivate a patient to follow a healthy lifestyle by using persuasive system approach. The implementation and maintenance of such systems require specific attention of software engineers for data management because of the complexity involved in the management of various data sources and privacy-related issues of personal data. In this paper, we propose a data model that is generic enough to describe and to support many kinds of telemonitoring applications. These applications include data mining applications which analyse and combine sensor data for a decision making, and persuasive systems which motivate a patient to follow a healthy lifestyle. We show that our data model is useful for a smooth management of data mining outputs and that it avoids the integration efforts in dealing with heterogeneous storage mechanisms. We also show that our data model eases the management of the granularity of data and that it facilitates software designers' tasks for the implementation of privacy protection mechanisms.

Online publication date: Sun, 03-Sep-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Information and Database Systems (IJIIDS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com