文献类型： 会议论文

第一作者： Anastasiia Gorelova

作者： Anastasiia Gorelova ¹ ; Santiago Melia ¹ ; Diana Gadzhimusieva ¹ ; Alexandra Parichenko ² ;

作者机构： 1.Universidad de Alicante, Carretera de San Vicente S/N, 03690 San Vicente del Raspeig, Alicante, Spain

2.Institute for Materials Science and Max Bergmann Center of Biomaterials, Dresden University of Technology, Budapester Str. 27, 01069 Dresden, Germany

关键词： Web of things (WoT);MATLAB;Simulink;SimEvents;infertility treatment;simulation;biosensor;Model Driven Engineering(MDE);Digital Twin;Discrete-Event Simulation (DES)

会议名称： International conference on web engineering

主办单位：

页码： 101-108

摘要： Despite technological advances, today there are still many treatments that have not been addressed by remote monitoring due to the absence of reliable monitoring devices and/or Health Monitoring Systems (HMS). In addition, there are situations where the deficiency of data due to the lack of a real scenario or device makes it impossible to use artificial intelligence (AI) techniques. However, this problem could be solved with simulation, being a fundamental mechanism for predicting and forecasting not-existing scenarios. In this paper, we proposed the use of Discrete-Event Simulation (DES) to model complex HMS scenarios. We have integrated a simulation module based on Matlab Simulink, into the MoSTHealth framework, so that the digital twins (DTs) modelled by the framework are elements of the DES scenario that the medical expert can easily parameterize through a mobile interface. A case study has been defined on the use of a wearable device (under development) that collects relevant hormone levels in real time, during infertility treatment. The DES simulation demonstrates an increase in the number of patients seen by one physician by 88,8%. In addition, the average waiting time for consultation decreased by 36.5%.

分类号： tp393