Coloured petri net model for remote monitoring of cardiovascular dysfunction

Carlos A. Rovetto, E. Cano, K. Ojo, M. Tuñon, Héctor Montes Franceschi
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引用次数: 5

Abstract

Cardiovascular dysfunction is the main cause of death in the world and several of these incidents have not been detected in time for diverse reasons. Consequently, some research groups, in ICT area, have been developing remote monitoring systems to detect the biosignals of cardiovascular dysfunction patients in the recent years. In this paper, a Coloured Petri Net (CPN) model for the remote healthcare process is presented. This CPN model uses the patient data formalization by means of set theory, providing a simplified perspective of the data transmission among all elements of the system. Using the CPN model, it will be investigated the behavior the system formed by the patients and their biosignals, located in different city zones (e.g., Panama), by means of simulation processes, in a first stage. With obtained simulation results, a remote monitoring system of bio-signals using non-invasive sensors will be developed.
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用于心血管功能障碍远程监测的彩色petri网模型
心血管功能障碍是世界上死亡的主要原因,其中一些事件由于各种原因未能及时发现。因此,近年来,ICT领域的一些研究小组一直在开发远程监测系统,以检测心血管功能障碍患者的生物信号。本文提出了一种用于远程医疗过程的彩色Petri网(CPN)模型。该CPN模型通过集合论的方法使用患者数据形式化,提供了系统中所有元素之间数据传输的简化视角。在第一阶段,利用CPN模型,通过模拟过程,研究位于不同城市区域(如巴拿马)的患者及其生物信号所形成的系统行为。在此基础上,开发了一种基于非侵入传感器的生物信号远程监测系统。
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