Title :
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
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);
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5333786
