Title: Data model for health telemonitoring and persuasive system design

Authors: Pierre Maret; Pravin Amrut Pawar; Shin'ichi Warisawa; Fabrice Muhlenbach; Guillaume Lopez; Ichiro Yamada

Addresses: Université de Lyon, Université Jean Monnet Saint Etienne, CNRS, Laboratoire Hubert Curien UMR 5516, F-42023 Saint Etienne, France ' Department of Computer Science and Engineering, National Institute of Technology, Goa, India ' Graduate School of Frontier Sciences, The University of Tokyo, Japan ' Université de Lyon, Université Jean Monnet Saint Etienne, CNRS, Laboratoire Hubert Curien UMR 5516, F-42023 Saint Etienne, France ' Department of Integrated Information Technology, Aoyama Gakuin University, Japan ' Graduate School of Frontier Sciences, The University of Tokyo, Japan

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.

Keywords: sensor data; health telemonitoring; data model; data mining; data granularity; privacy management; persuasive systems.

DOI: 10.1504/IJIIDS.2017.086190

International Journal of Intelligent Information and Database Systems, 2017 Vol.10 No.1/2, pp.4 - 20

Received: 03 Feb 2016
Accepted: 30 Aug 2016
Published online: 03 Sep 2017 *

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