SPN-model based simulation of a wearable health monitoring system

Author

Pantelopoulos, Alexandros ; Bourbakis, Nikolaos

Author_Institution

Assistive Technol. Res. Center, Wright State Univ., Dayton, OH, USA

fYear

2009

fDate

3-6 Sept. 2009

Firstpage

320

Lastpage

323

Abstract

The deployment of Wearable Health Monitoring Systems (WHMS) can potentially enable ubiquitous and continuous monitoring of a patient´s physiological parameters. Moreover by incorporating multiple biosensors in such a system a comprehensive estimation of the user´s health condition can possibly be derived. In this paper we present a Stochastic Petri Net (SPN) model of a multi-sensor WHMS along with a corresponding simulation framework implemented in Java. The proposed model is built on top of a previously published multisensor data fusion strategy, which has been expanded in this work to take into account synchronization issues and temporal dependencies between the measured bio-signals.

Keywords

Java; Petri nets; biosensors; body area networks; health care; patient monitoring; sensor fusion; stochastic processes; Java; SPN-model based simulation; Stochastic Petri Net; WHMS deployment; body area networks; measured bio-signals; multiple biosensors; multisensor WHMS; multisensor data fusion strategy; patient´s physiological parameters continuous monitoring; simulation framework; temporal dependencies; ubiquitous monitoring; user´s health condition estimation; wearable health monitoring system; Stochastic Petri Net; biosensors; health monitoring; java; simulation; wearable systems; Algorithms; Clothing; Decision Support Techniques; Diagnosis, Computer-Assisted; Monitoring, Ambulatory; Neural Networks (Computer);

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE

Conference_Location

Minneapolis, MN

ISSN

1557-170X

Print_ISBN

978-1-4244-3296-7

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2009.5333786

Filename

5333786